Curriculum Vitae
Philip Bradford Stark

 Biographical Information
  Interests
 Appointments
 Awards and Fellowships
 Affiliations and Professional Societies
 Education
  Mentors
 Publications
  Refereed Publications
  Books and Edited Volumes
  Book Chapters
  Technical Reports, White Papers, and Unrefereed Publications
  Editorials, Reviews, and Comments
  Working Drafts
  Software
 Selected Presentations
  Other Invited Seminars
 Press
 Teaching and Advising
  Courses
  Former Graduate Students and Postdocs
  Graduate Committees
  First-year PhD advising
  Undergraduate Research Advisees
 Service
  Professional Societies and Government Agencies
  Foundations, Non-Profit Corporations, and Industry
  Editorial Service
  Referee Service
  University and Higher Education
 Contracts and Grants
 Consulting and Expert Witness Experience
  Recent Testimony

Biographical Information

Interests

Appointments

Awards and Fellowships

Affiliations

Professional Societies

Education

Mentors

Publications

Refereed Publications

  1. Stark, P.B. and C. Frohlich, 1985. The depths of the deepest deep Earthquakes, Journal of Geophysical Research, 90, 1859–1869.
  2. Stark, P.B., R.L. Parker, G. Masters, and J.A. Orcutt, 1986. Strict bounds on seismic velocity in the spherical Earth, Journal of Geophysical Research, 91, 13,892–13,902.
  3. Stark, P.B., 1986. Travel-Time Inversion: Regularization and Inference, Ph.D. Thesis, Scripps Instution of Oceanography, University of California, San Diego, 106pp.
  4. Stark, P.B., and R.L. Parker, 1987. Smooth profiles from tau(p) and X(p) data, Geophysical Journal of the Royal Astronomical Society, 89, 2713–2719.
  5. Stark, P.B., and R.L. Parker, 1987. Velocity bounds from statistical estimates of tau(p) and X(p), Journal of Geophysical Research, 92, 2713–2719.
  6. Stark, P.B., 1987. Rigorous velocity bounds from soft tau(p) and X(p) data, Geophysical Journal of the Royal Astronomical Society, 89, 987–996.
  7. Orcutt, J.A., R.L. Parker, P.B. Stark, and J.D. Garmany, 1988. Comment concerning “A method of obtaining a velocity-depth envelope from wide-angle seismic data” by R. Mithal and J.B. Diebold. Geophysical Journal, 95, 209–212.
  8. Stark, P.B. and R.L. Parker, 1988. Correction to “Velocity bounds from statistical estimates of tau(p) and X(p).” Journal of Geophysical Research, 93, 13,821–13,822.
  9. Donoho, D.L. and P.B. Stark, 1989. Uncertainty principles and signal recovery. SIAM Journal of Applied Mathematics, 49, 906–931.
  10. Stark, P.B., 1992. Affine minimax confidence intervals for a bounded Normal mean, Statistics and Probability Letters, 13, 39–44.
  11. Stark, P.B., 1992. Minimax confidence intervals in geomagnetism, Geophysical Journal International, 108, 329–338.
  12. Stark, P.B., 1992. Inference in infinite-dimensional inverse problems: Discretization and duality, Journal of Geophysical Research, 97, 14,055–14,082. Reprint:
    http://onlinelibrary.wiley.com/store/10.1029/92JB00739/asset/jgrb8704.pdf?v=1\&t=huykapvf\&s=fc2875cb65ef5876a27c7ebd78af65ecf73fbec9
  13. Donoho, D.L. and P.B. Stark, 1993. A note on rearrangements, spectral concentration, and the zero-order prolate spheroidal wavefunction. IEEE Transactions on Information Theory, 39, 257–260.
  14. Pulliam, R.J. and P.B. Stark, 1993. Bumps on the core-mantle boundary: Are they facts or artifacts?, Journal of Geophysical Research, 98, 1943–1956.
  15. Stark, P.B. and N.W. Hengartner, 1993. Reproducing Earth’s kernel: Uncertainty of the shape of the core-mantle boundary from PKP and PcP travel-times, Journal of Geophysical Research, 98, 1957–1972.
  16. Stark, P.B., 1993. Uncertainty of the COBE quadrupole detection, Astrophysical Journal Letters, 408, L73–L76.
  17. Stark, P.B. and D.I. Nikolayev, 1993. Toward tubular tomography, Journal of Geophysical Research, 98, 8095–8106.
  18. Constable, C.G., R.L. Parker, and P.B. Stark, 1993. Geomagnetic field models incorporating frozen-flux constraints, Geophysical Journal International, 113, 419–433.
  19. Gough, D.O. and P.B. Stark, 1993. Are the 1986–1988 changes in solar free-oscillation frequency splitting significant?, Astrophysical Journal, 415, 376–382.
  20. Stark, P.B., M.M. Herron, and A. Matteson, 1993. Empirically minimax affine mineralogy estimates from Fourier-transform infrared spectroscopy data using a decimated wavelet basis, Applied Spectroscopy, 47, 1820–1829.
  21. Pulliam, R.J. and P.B. Stark, 1994. Confidence regions for mantle heterogeneity, Journal of Geophysical Research, 99, 6931–6943.
  22. Genovese, C.R., P.B. Stark, and M.J. Thompson, 1995. Uncertainties for Two-Dimensional Models of Solar Rotation from Helioseismic Eigenfrequency Splitting, Astrophysical Journal, 443, 843–854.
  23. Stark, P.B. and R.L. Parker, 1995. Bounded-variable least-squares: an algorithm and applications, Computational Statistics, 10, 129–141. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/bvls.pdf
  24. Hengartner, N.W. and P.B. Stark, 1995. Finite-sample confidence envelopes for shape-restricted densities, The Annals of Statistics, 23, 525–550.
  25. Stark, P.B., 1995. Reply to Comment by Morelli and Dziewonski, Journal of Geophysical Research, 100, 15,399–15,402.
  26. Gough, D.O., T. Sekii, and P.B. Stark, 1996. Inferring spatial variation of solar properties from helioseismic data, Astrophysical Journal, 459, 779–791.
  27. Benjamini, Y. and Stark, P.B., 1996. Non-equivariant simultaneous confidence intervals less likely to contain zero, Journal of the American Statistical Association, 91, 329–337.
  28. Hill, F., P.B. Stark, R.T. Stebbins, E.R. Anderson, H.M. Antia, T.M. Brown, T.L. Duvall, Jr., D.A. Haber, J.W. Harvey, D.H. Hathaway, R. Howe, R. Hubbard, H.P. Jones, J.R. Kennedy, S.G. Korzennik, A.G. Kosovichev, J.W. Leibacher, K.G. Libbrecht, J.A. Pintar, E.J. Rhodes, Jr., J. Schou, M.J. Thompson, S. Tomczyk, C.G. Toner, R. Toussaint, and W.E. Williams, 1996. The solar acoustic spectrum and eigenmode parameters, Science, 272, 1292–1295.
  29. Thompson, M.J., J. Toomre, E.R. Anderson, H.M. Antia, G. Berthomieu, D. Burtonclay, S.M. Chitre, J. Christensen-Dalsgaard, T. Corbard, M. DeRosa, C.R. Genovese, D.O. Gough, D.A. Haber, J.W. Harvey, F. Hill, R. Howe, S.G. Korzennik, A.G. Kosovichev, J.W. Leibacher, F.P. Pijpers, J. Provost, E.J. Rhodes, Jr., J. Schou, T. Sekii, P.B. Stark, and P.R. Wilson, 1996. Differential rotation and dynamics of the solar interior, Science, 272, 1300–1305.
  30. Stark, P.B., 1996. A few considerations for ascribing statistical significance to earthquake predictions, Geophysical Research Letters, 23, 1399–1402.
  31. Evans, S.N., and P.B. Stark, 1996. Shrinkage estimators, Skorokhod’s problem, and stochastic integration by parts, The Annals of Statistics, 24, 809–815.
  32. Genovese, C.R. and P.B. Stark, 1996. Data Reduction and Statistical Consistency in Linear Inverse Problems, Physics of the Earth and Planetary Interiors, 98, 143–162.
  33. Stark, P.B., 1997. Earthquake prediction: the null hypothesis, Geophysical Journal International, 131, 495–499.
  34. Benjamini, Y., Y. Hochberg, and P.B. Stark, 1998. Confidence Intervals with more Power to determine the Sign: Two Ends constrain the Means, Journal of the American Statistical Association, 93, 309–317.
  35. Tenorio, L., P.B. Stark, and C.H. Lineweaver, 1999. Bigger uncertainties and the Big Bang, Inverse Problems, 15, 329–341.
  36. Stark, P.B., 1999. Geophysics, Statistics in, in Encyclopedia of Statistical Sciences, Update Volume 3, S. Kotz, C.B. Read, and D.L. Banks, eds., John Wiley and Sons, NY. Invited. Reprint:
    http://mrw.interscience.wiley.com/emrw/9780471667193/ess/article/ess1053/current/pdf
  37. Komm, R., Y. Gu, P.B. Stark, and I. Fodor, 1999. Multitaper Spectral Analysis and Wavelet Denoising Applied to Helioseismic Data, Astrophysical Journal, 519, 407–421.
  38. Freedman, D.A., and P.B. Stark, 1999. The swine flu vaccine and Guillain-Barré syndrome: a case study in relative risk and specific causation, Evaluation Review, 23, 619–647. Preprint:
    http://www.stat.berkeley.edu/users/census/546.pdf
  39. Fodor, I. and P.B. Stark, 2000. Multitaper Spectrum Estimation for Time Series with Gaps, IEEE Transactions on Signal Processing, 48, 3472–3483.
  40. Freedman, D.A., P.B. Stark, and K.W. Wachter, 2001. A probability model for census adjustment, Mathematical Population Studies, 9, 165–180.
  41. D.A. Freedman and P.B. Stark, 2001. The swine flu vaccine and Guillain-Barré syndrome. Law and Contemporary Problems, 64, 49–62. Reprint:
    http://www.law.duke.edu/shell/cite.pl?64+Law+\&+Contemp.+Probs.+49+(Autumn+2001)
  42. Evans, S.N. and P.B. Stark, 2002. Inverse Problems as Statistics, Inverse Problems, 18, R55–R97. Invited. Reprint:
    http://iopscience.iop.org/0266-5611/18/4/201/pdf/0266-5611_18_4_201.pdf
  43. Stark, P.B. and D.A. Freedman, 2003. What is the Chance of an Earthquake? in Earthquake Science and Seismic Risk Reduction, F. Mulargia and R.J. Geller, eds., NATO Science Series IV: Earth and Environmental Sciences, v. 32, Kluwer, Dordrecht, The Netherlands, 201–213. Invited. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/611.pdf
  44. Stark, P.B., 2003. Capture-recapture. Encyclopedia of Social Science Research Methods, Sage Publications, Thousand Oaks, CA. Invited. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/capt2002.pdf
  45. Stark, P.B., 2003. Census Adjustment. Encyclopedia of Social Science Research Methods, Sage Publications, Thousand Oaks, CA. Invited. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/adj2002.pdf
  46. Schafer, C.M. and P.B. Stark, 2004. Using what we know: inference with physical constraints. Proceedings of the Conference on Statistical Problems in Particle Physics, Astrophysics and Cosmology PHYSTAT2003, L. Lyons, R. Mount and R. Reitmeyer, eds., Stanford Linear Accelerator Center, Menlo Park, CA, 25–34.
  47. Evans, S.N., B. Hansen, and P.B. Stark, 2005. Minimax Expected Measure Confidence Sets for Restricted Location Parameters, Bernoulli, 11, 571–590. Also Tech. Rept. 617, Dept. Statistics Univ. Calif Berkeley (May 2002, revised May 2003). Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/617.pdf
  48. Divenyi, P., P.B. Stark, and K. Haupt, 2005. Decline of Speech Understanding and Auditory Thresholds in the Elderly, Journal of the Acoustical Society of America, 118, 1089–1100.
  49. Freedman, D.A. and P.B. Stark, 2007. Ecological Inference, in 1 Encyclopedia of Law and Society: American and Global Perspectives, 447–448, David S. Clark, ed., Sage Publications. Invited. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/ecoInf07.txt
  50. Luen, B. and P.B. Stark, 2008. Testing Earthquake Predictions. IMS Lecture Notes—Monograph Series. Probability and Statistics: Essays in Honor of David A. Freedman, 302–315. Institute for Mathematical Statistics Press, Beachwood, OH. Invited. Reprint:
    http://arxiv.org/abs/0805.3032
  51. Stark, P.B., 2008. The effectiveness of Internet content filters, I/S: A Journal of Law and Policy for the Information Society, 4, 411–429.
    Reprint: http://www.is-journal.org/V04I02/Stark.pdf
    Preprint: http://www.stat.berkeley.edu/~stark/Preprints/filter07.pdf
  52. Stark, P.B., 2008. Conservative statistical post-election audits, The Annals of Applied Statistics, 2, 550–581. Reprint:
    http://arxiv.org/abs/0807.4005
  53. Stark, P.B., 2008. A Sharper Discrepancy Measure for Post-Election Audits, The Annals of Applied Statistics, 2, 2008, 982–985. Reprint:
    http://arxiv.org/abs/0811.1697
  54. Stark, P.B., 2008. Generalizing resolution, Inverse Problems, 24, 034014. Invited; selected for 2008 Highlights for Inverse Problems Reprint:
    http://www.stat.berkeley.edu/~stark/Preprints/resolution07.pdf
  55. Schafer, C.M., and P.B. Stark, 2009. Constructing Confidence Sets of Optimal Expected Size. Journal of the American Statistical Association, 104, 1080–1089. Reprint:
    http://www.stat.berkeley.edu/~stark/Preprints/schaferStark09.pdf
  56. Berlow, E.L., J.A. Dunne, N.D. Martinez, P.B. Stark, R.J. Williams and U. Brose, 2009. Simplicity on the other side of ecological complexity. Proceedings of the National Academy of Sciences, 106, 187–219. Reprint:
    http://www.pnas.org/content/106/1/187.full.pdf+html
  57. Hall, J.L., L.W. Miratrix, P.B. Stark, M. Briones, E. Ginnold, F. Oakley, M. Peaden, G. Pellerin, T. Stanionis and T. Webber, 2009. Implementing Risk-Limiting Audits in California, 2009 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE ’09). Reprint:
    http://static.usenix.org/events/evtwote09/tech/full_papers/hall.pdf.
    SSRN’s Top Ten download list for ERN: Models of Political Processes: Rent-Seeking, Elections, Legislatures, & Voting Behavior
  58. Stark, P.B., 2009. CAST: Canvass Audits by Sampling and Testing. IEEE Transactions on Information Forensics and Security: Special Issue on Electronic Voting, 4, 708–717. Reprint:
    http://www.stat.berkeley.edu/~stark/Preprints/cast09.pdf
  59. Miratrix, L.W. and P.B. Stark, 2009. Election Audits using a Trinomial Bound. IEEE Transactions on Information Forensics and Security: Special Issue on Electronic Voting, 4, 974–981. Reprint:
    http://www.stat.berkeley.edu/~stark/Preprints/trinomial09.pdf
  60. Stark, P.B., 2009. Risk-limiting post-election audits: P-values from common probability inequalities. IEEE Transactions on Information Forensics and Security: Special Issue on Electronic Voting, 4, 1005–1014. Reprint:
    http://www.stat.berkeley.edu/~stark/Preprints/pvalues09.pdf
  61. Stark, P.B., 2009. Efficient post-election audits of multiple contests: 2009 California tests. Refereed paper presented at the 2009 Conference on Empirical Legal Studies. Preprint:
    http://ssrn.com/abstract=1443314
  62. Stark, P.B., 2010. Risk-Limiting Vote-Tabulation Audits: The Importance of Cluster Size. Chance, 23(3), 9–12. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/auditingChance10.pdf
  63. Stark, P.B., 2010. Super-simple simultaneous single-ballot risk-limiting audits. 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE ’10), D. Jones, J.J. Quisquater and E.K. Rescorla, eds. Reprint:
    http://www.usenix.org/events/evtwote10/tech/full_papers/Stark.pdf
  64. Stark, P.B. and L. Tenorio, 2010. A Primer of Frequentist and Bayesian Inference in Inverse Problems. In Large Scale Inverse Problems and Quantification of Uncertainty, Biegler, L., G. Biros, O. Ghattas, M. Heinkenschloss, D. Keyes, B. Mallick, L. Tenorio, B. van Bloemen Waanders and K. Willcox, eds. John Wiley and Sons, NY. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/freqBayes09.pdf
  65. Stark, P.B., 2010. Null and Vetoed: “Chance Coincidence”? Chance, 23(4), 43–46. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/acrosticVeto09.htm
  66. Benaloh, J., D. Jones, E. Lazarus, M. Lindeman, and P.B. Stark, 2011. SOBA: Secrecy-preserving Observable Ballot-level Audit. 2011 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE ’11). Reprint:
    http://static.usenix.org/events/evtwote11/tech/final_files/Benaloh.pdf
    Video: https://www.usenix.org/conference/evtwote-11/soba-secrecy-preserving-observable-ballot-level-audit
  67. Higgins, M.J., R.L. Rivest and P.B. Stark, 2011. Sharper p-values for Stratified Post-Election Audits. Statistics, Politics, and Policy, 2(1), Article 7. Reprint:
    http://www.bepress.com/spp/vol2/iss1/7
  68. Shearer, P.M. and P.B. Stark, 2012. The global risk of big earthquakes has not recently increased. Proceedings of the National Academy of Sciences, 109(3), 717–721. doi: 10.1073/pnas.1118525109. (Commentary by G. Beroza, PNAS 2012, 109(3) 651–652. doi: 10.1073/pnas.1120744109.) Reprint:
    http://www.pnas.org/content/early/2011/12/12/1118525109.full.pdf+html
  69. Luen, B. and P.B. Stark, 2012. Poisson tests of declustered catalogs. Geophysical Journal International, 189, 691–700. doi: 10.1111/j.1365-246X.2012.05400.x
    Reprint:
    http://onlinelibrary.wiley.com/doi/10.1111/j.1365-246X.2012.05400.x/pdf
    Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/decluster11.pdf
  70. Lindeman, M., P.B. Stark, and V.S. Yates, 2012. BRAVO: Ballot-polling Risk-Limiting Audits to Verify Outcomes. 2012 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE ’12). Reprint:
    https://www.usenix.org/system/files/conference/evtwote12/evtwote12-final27.pdf
  71. Huttunen, J.M.J., and P.B. Stark, 2012. Cheap contouring of costly functions: The Pilot Approximation Trajectory Algorithm. Computational Science & Discovery. 5, 015006. Reprint:
    http://stacks.iop.org/1749-4699/5/015006
  72. Lindeman, M. and P.B. Stark, 2012. A Gentle Introduction to Risk-Limiting Audits. IEEE Security and Privacy, 10, 42–49. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/gentle12.pdf
  73. Stark, P.B., and D.A. Wagner, 2012. Evidence-Based Elections. IEEE Security and Privacy, 10, 33–41. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/evidenceVote12.pdf
  74. Benjamini, Y., V. Madar, and P.B. Stark, 2013. Simultaneous confidence intervals uniformly more likely to determine signs, Biometrika, doi: 10.1093/biomet/ass074
    Reprint: http://biomet.oxfordjournals.org/content/early/2013/02/20/biomet.ass074.full.pdf
    Preprint: http://www.stat.berkeley.edu/~stark/Preprints/qc11.pdf
  75. Benaloh, J., M. Byrne, B. Eakin, P. Kortum, N. McBurnett, O. Pereira, P.B. Stark, and D.S. Wallach, 2013. STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System. JETS: USENIX Journal of Election Technology and Systems, 1,18–37. Reprint: https://www.usenix.org/sites/default/files/jets0101-complete.pdf
  76. Stark, P.B., and V. Teague, 2014. Verifiable European Elections: Risk-limiting Audits for D’Hondt and Its Relatives, JETS: USENIX Journal of Election Technology and Systems, 3.1, https://www.usenix.org/jets/issues/0301/stark
  77. Mulargia, F., Gasperini, P., Lolli, B., and P.B. Stark, 2015. Purported precursors: poor predictors. Bollettino di Geofisica Teorica ed Applicata, in press.
  78. Luo, T., and P.B. Stark, 2015. Nine out of 10 restaurants fail? Check, please. Significance, 12, 25–29. Preprint: http://arxiv-web3.library.cornell.edu/abs/1410.8603v1 Reprint: http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2015.00813.x/abstract
  79. Stark, P.B., 2015. Constraints versus priors. SIAM/ASA Journal on Uncertainty Quantification, accepted. Preprint: http://www.stat.berkeley.edu/~stark/Preprints/constraintsPriors14.pdf
  80. Saltelli, A., P.B. Stark, W. Becker, and P. Stano, 2015. Climate Models as Economic Guides: Scientific Challenge or Quixotic Quest?, Issues in Science and Technology, Spring 2015. Reprint: http://www.stat.berkeley.edu/~stark/Preprints/saltelliEtal15.pdf
  81. Matchett, J.R., P.B. Stark, R.A. Knapp, S.M. Ostoja, H.C. McKenny, M. Brooks, W. Langford, L.N. Joppa, and E. Berlow, 2015. Detecting the influence of rare stressors on rare species in Yosemite National Park using a novel stratified permutation test, Nature Scientific Reports, in press.
  82. Arratia, R., S. Garibaldi, L. Mower, and P.B. Stark, 2015. Some people have all the luck. Mathematics Magazine, in press. Preprint: http://arxiv.org/abs/1503.02902

    Post-refereed publications
  83. Stark, P.B., and R. Freishtat, 2014. An evaluation of course evaluations. Science Open, DOI 10.14293/S2199-1006.1.-.AOFRQA.v1, https://www.scienceopen.com/document/vid/42e6aae5-246b-4900-8015-dc99b467b6e4

    Papers submitted for publication
  84. Regier, J.C. and P.B. Stark, 2013, Uncertainty Quantification for Emulators. Submitted to SIAM/ASA Journal on Uncertainty Quantification. Preprint: http://arxiv.org/abs/1303.3079
  85. Evans, S.N., R.L. Rivest, and P.B. Stark, 2014. Leading the field: Fortune favors the bold in Thurstonian choice models. Preprint: http://arxiv.org/pdf/1409.5924.pdf

    Books and Edited Volumes
  86. Stark, P.B., 1997. SticiGui: Statistics Tools for Internet and Classroom Instruction with a Graphical User Interface.
    http://www.stat.berkeley.edu/~stark/SticiGui
  87. Freedman, D.A., 2009. Statistical Models and Causal Inference: A Dialog with the Social Sciences, D. Collier, J.S. Sekhon and P.B. Stark, eds., Cambridge University Press, New York.

    Book Chapters
  88. Stark, P.B., 1988. Strict bounds and applications. in Some Topics on Inverse Problems, P.C. Sabatier, ed., World Scientific, Singapore.
  89. Stark, P.B., 1990. Rigorous computer solutions to infinite-dimensional inverse problems. in Inverse Methods in Action, P.C. Sabatier, ed., Springer-Verlag. 462–467.
  90. Stark, P.B., 2000. Inverse Problems as Statistics, in Surveys on Solution Methods for Inverse Problems, Colton, D., H.W. Engl, A.K. Louis, J.R. Mclaughlin and W. Rundell, eds., Springer-Verlag, New York, 253–275. Invited.
  91. Stark, P.B., 2004. Estimating power spectra of galactic structure: can Statistics help?, in Penetrating Bars Through Masks of Cosmic Dust: The Hubble Tuning Fork Strikes a New Note, D.L. Block, I. Puerari, K.C. Freeman, R. Groess and E.K. Block, eds., Springer, The Netherlands, 613–617. Invited.
  92. Geller, R.J., F. Mulargia, and P.B. Stark, 2015. Why we need a new paradigm of earthquake occurrence, in Subduction Dynamics: From Mantle Flow to Mega Disasters, G. Morra, D.A. Yuen, S. King, S.M. Lee, and S. Stein, eds. Wiley, NY. In press.

    Technical Reports, White Papers, and Unrefereed Publications
  93. Donoho, D.L. and P.B. Stark, 1988. Rearrangements and Smoothing, Tech. Rept. 148, Dept. Stat., Univ. Calif. Berkeley.
  94. Donoho, D.L. and P.B. Stark, 1989. Recovery of a Sparse Signal When the Low Frequency Information is Missing, Tech. Rept. 179, Dept. Statistics, Univ. Calif. Berkeley.
  95. Hengartner, N.W. and P.B. Stark, 1992. Conservative finite-sample confidence envelopes for monotone and unimodal densities, Tech. Rept. 341, Dept. Statistics, Univ. Calif. Berkeley.
  96. Hengartner, N.W. and P.B. Stark, 1992. Confidence bounds on the probability density of aftershocks, Tech. Rept. 352, Dept. Statistics, Univ. Calif. Berkeley.
  97. Stark, P.B., 1992. The Cosmic Microwave Background and Earth’s Core-Mantle Boundary: A Tale of Two CMB’s, Tech. Rept. 371, Dept. Statistics, Univ. Calif. Berkeley. http://www.stat.berkeley.edu/~stark/Preprints/371.pdf
  98. Genovese, C. and P.B. Stark, 1993. l1 spectral estimation: Algorithms and tests of super-resolution, in GONG 1992: Seismic Investigations of the Sun and Stars, Proc. Astr. Soc. Pac. Conf. Ser., 42, T. Brown, ed., 453–456.
  99. Gough, D.O. and P.B. Stark, 1993. The significance of changes in solar free-oscillation splitting from 1986–1990, in GONG 1992: Seismic Investigations of the Sun and Stars, Proc. Astr. Soc. Pac. Conf. Ser., 42, T. Brown, ed., 221–224.
  100. Stark, P.B., 1994. Simultaneous Confidence Intervals for Linear Estimates of Linear Functionals, Tech. Rept. 417, Dept. Statistics, Univ. Calif. Berkeley.
  101. Sekii, T., C.R. Genovese, D.O. Gough, and P.B. Stark, 1995. Observational constraints on the internal solar angular velocity, in Fourth SOHO Workshop: Helioseismology, J.T. Hoeksema, V. Domingo, B. Fleck and B. Battrick, eds., ESA Publications Division SP-376, Noordwijk, Volume 2, 279–283.
  102. Stark, P.B., 1997. Data Sampling Rate Reduction for the OERSTED Geomagnetic Satellite.
    http://www.stat.berkeley.edu/~stark/Preprints/Oersted/writeup.htm
  103. Fodor, I.K., J.G. Berryman, and P.B. Stark, 1997. Comparison of Autoregressive and Multitaper Spectral Analysis for Long Time Series, Stanford Exploration Project, 95, 331–355.
  104. Borrill, J., and P.B. Stark, 1998. A fast method for bounding the CMB power spectrum likelihood function.
  105. Stark, P.B., 1998. Testimony before U.S. House of Representatives Subcommittee on the Census, 5 May 1998.
    http://www.stat.berkeley.edu/~stark/Census/house-5-5-98-pbs.pdf
  106. Stark, P.B., 1998. Response to 25 Questions from Representative C. Maloney, Ranking Minority Member, U.S. House of Representatives Subcommittee on the Census, 13 May 1998.
    http://www.stat.berkeley.edu/~stark/Census/maloney-5-13-98-pbs.pdf
  107. Stark, P.B., 1999. Letter to the Editor of USA Today regarding Sampling to Adjust the 2000 Census, 19 January. (original version:
    http://www.stat.berkeley.edu/~stark/Census/usaOpEd99.htm)
  108. Komm, R.W., Y. Gu, F. Hill, P.B. Stark, and I.K. Fodor, 1998. Multitaper Spectral Analysis and Wavelet Denoising Applied to Helioseismic Data, Proc. Tenth Cambridge Workshop on Cool Stars, Stellar Systems and the Sun, ASP Conference Series, 154, CDR 783–790.
  109. Komm, R.W., E. Anderson, F. Hill, R. Howe, A.G. Kosovichev, P.H. Scherrer, J. Schou, I. Fodor, and P. Stark, 1998. Comparison of SOHO-SOI/MDI and GONG Spectra, Proceedings of the SOHO 6/GONG 98 Workshop, ’Structure and Dynamics of the Interior of the Sun and Sun-like Stars,’ Boston, USA, 1–4 June 1998, ESA SP-418, 253–256.
  110. Komm, R.W., E. Anderson, F. Hill, R. Howe, I. Fodor, and P. Stark, 1998. Multitaper analysis applied to a 3-month time series, Proceedings of the SOHO 6/GONG 98 Workshop, ’Structure and Dynamics of the Interior of the Sun and Sun-like Stars,’ Boston, USA, 1–4 June 1998, ESA SP–418, 257–260.
  111. Fodor, I.K. and P.B. Stark, 1999. Multitaper Spectrum Estimates for Time Series with Missing Values, Computing Science and Statistics, 31: Models, Predictions, and Computing. K. Berk and M. Pourahmadi, eds., 383–387.
  112. Stark, P.B., 1999.The 1990 and 2000 Census Adjustment Plans, Tech. Rept. 550, Dept. Statistics, Univ. Calif. Berkeley.
    http://www.stat.berkeley.edu/~stark/Census/550.pdf (revised May 2000)
  113. Schafer, C.M. and P.B. Stark, 2006. Constructing Confidence Sets of Optimal Expected Size. Technical report 836, Department of Statistics, Carnegie Mellon University.
    http://www.stat.cmu.edu/tr/tr836/tr836.html
  114. Jefferson, D., K. Alexander, E. Ginnold, A. Lehmkuhl, K. Midstokke and P.B. Stark, 2007. Post Election Audit Standards Report—Evaluation of Audit Sampling Models and Options for Strengthening California’s Manual Count.
    http://www.sos.ca.gov/elections/peas/final_peaswg_report.pdf
  115. Stark, P.B., 2009. Auditing a collection of races simultaneously.
    http://arxiv.org/abs/0905.1422v1
  116. Stark, P.B., 2009. The status and near future of post-election auditing.
    http://www.stat.berkeley.edu/~stark/Preprints/auditingPosition09.htm
  117. Stark, P.B., 2010. Why small audit batches are more efficient: two heuristic explanations.
    http://www.stat.berkeley.edu/~stark/Preprints/smallBatchHeuristics10.htm
  118. Higdon, D., R. Klein, M. Anderson, M. Berliner, C. Covey, O. Ghattas, C. Graziani, S. Habib, M. Seager, J. Sefcik, P. Stark, and J. Stewart, 2010. Panel Report on Uncertainty Quantification and Error Analysis, in Scientific Grand Challenges in National Security: The Role of Computing at the Extreme Scale, U.S. Department of Energy Office of Advanced Scientific Computing Research and National Nuclear Security Administration.
    http://science.energy.gov/~/media/ascr/pdf/program-documents/docs/Nnsa_grand_challenges_report.pdf
  119. McLaughlin, K., and P.B. Stark, 2011. Workload Estimates for Risk-Limiting Audits of Large Contests.
    http://www.stat.berkeley.edu/~stark/Preprints/workload11.pdf
  120. Scott, L.R., J. Brown, G.W. Bergantz, D. Cooley, C. Dawson, M. de Hoop, D. Estep, N. Flyer, E. Foufoula-Georgiou, M. Ghil, M. Knepley, R.J. LeVeque, L.-H. Lim, G. Papanicolaou, S. Prudhomme, A. Sandu, G. Schubert, F.J. Simons, P.B. Stark, M. Stein, S. Stein, T. Tanimoto, D. Tartakovsky, J. Weare, R. Weiss, G.B. Wright, and D. Yuen, 2012. Fostering Interactions Between the Geosciences and Mathematics, Statistics, and Computer Science. Technical Report TR-2012-02, Department of Computer Science, The University of Chicago.
    https://www.cs.uchicago.edu/research/publications/techreports/TR-2012-02
  121. Bańuelos, J.H. and P.B. Stark, 2012. Limiting Risk by Turning Manifest Phantoms into Evil Zombies.
    http://arxiv.org/abs/1207.3413
  122. Bretschneider, J., S. Flaherty, S. Goodman, M. Halvorson, R. Johnston, M. Lindeman, R.L. Rivest, P. Smith, and P.B. Stark, 2012. Risk-Limiting Post-Election Audits: Why and How.
    http://www.stat.berkeley.edu/~stark/Preprints/RLAwhitepaper12.pdf
    Endorsement by the American Statistical Association:
    http://www.amstat.org/policy/pdfs/StarkEtAlLetterOfSupport.pdf
  123. Stark, P.B., 2012. Ballot-Polling Audits in Two Pages (±1).
    http://www.stat.berkeley.edu/~stark/Preprints/bpa2pp.pdf
  124. Benaloh, J., M. Byrne, P. Kortum, N. McBurnett, O. Pereira, P.B. Stark, and D.S. Wallach, 2012. STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System. Preprint:
    http://arxiv.org/abs/1211.1904
  125. Lindeman, M., R.L. Rivest, and P.B. Stark, 2013. Machine Retabulation is not Auditing. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/retabNotAudit13.pdf
  126. Lindeman, M., R.L. Rivest, and P.B. Stark, 2013. Retabulations, Machine-Assisted Audits, and Election Verification. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/retabulation13.htm
  127. Evans, S.N., R.L. Rivest, and P.B. Stark, 2014. Leading the field: Fortune favors the bold in Thurstonian choice models. Preprint:
    http://arxiv.org/abs/1409.5924
  128. Verified Voting Foundation, 2015. Principles for New Voting Systems, http://www.verifiedvotingfoundation.org/voting-systems-principles/
  129. Benaloh, J., R.L. Rivest, P.Y.A. Ryan, P.B. Stark, V. Teague, and P. Vora, 2015. End-to-end verifiability. http://arxiv.org/abs/1504.03778

    Editorials, Reviews, and Comments
  130. Stark, P.B., 2001. Review of Who Counts? by Margo J. Anderson and Stephen E. Fienberg, Journal of Economic Literature, XXXIX, 593–595. Invited.
  131. Tenorio, L., E. Haber, P.B. Stark, D. Cox, O. Ghattas and W.W. Symes, 2008. Guest editors’ introduction to the special section on statistical and computational issues in inverse problems, Inverse problems, 24, 034001. Reprint:
    http://www.iop.org/EJ/article/0266-5611/24/3/034001/ip8_3_034001.pdf
  132. Stark, P.B., 2008. Obituary: David A. Freedman, IMS Bulletin, 38, 10–11. Preprint:
    http://www.stat.berkeley.edu/~stark/Preprints/dafObituary.htm
  133. Collier, D., J.S. Sekhon and P.B. Stark, 2009. Preface to David A. Freedman, 2009. Statistical Models: Theory and Practice, Revised edition, Cambridge University Press, New York.
  134. Ash, A., S. Pierson and P.B. Stark, 2009. Thinking outside the urn: Statisticians make their marks on U.S. Ballots. Amstat News, 384. 37–40. Reprint:
    http://www.amstat.org/outreach/pdfs/SP_ANJun09.pdf
  135. Audit working group, 2009. Data requirements for vote-tabulation audits: Statement to NIST, ElectionAudits.org.
    http://electionaudits.org/niststatement
  136. Hall, J.L., P.B. Stark, H.E. Brady, and J.S. Sekhon, 2009. Comments on the CA SoS Precinct Level Data Pilot Project.
    http://www.stat.berkeley.edu/~stark/Preprints/CACountyData09.pdf
  137. Stark, P.B., 2010. Testimony before California State Assembly Committee on Elections and Redistricting, 20 April 2010.
    http://www.stat.berkeley.edu/~stark/Preprints/ab2023-assembly-20-4-10.htm
  138. Stark, P.B., 2010. Testimony before California State Senate Committee on Elections, Reapportionment and Constitutional Amendments, 15 June 2010.
    http://www.stat.berkeley.edu/~stark/Preprints/ab2023-senate-15-6-10.htm
  139. Stark, P.B., 2010. Open letter to UC Berkeley Law School Dean Christopher Edley regarding UC Online Education.
    http://www.samefacts.com/2010/08/archive/technology-and-society/online-education-notes-from-the-field/
  140. Stark, P.B., 2010. Testimony proffered to Judge Ira Warshawsky, New York Supreme Court, 4 December 2010.
    http://www.stat.berkeley.edu/~stark/Preprints/nysd7-4-12-10.htm
  141. Letter to President Barack Obama re election technology, 6 December 2012 (with Barbara Simons and 48 others).
    http://www.verifiedvoting.org/wp-content/uploads/2012/12/PresidentLetter.pdf
  142. Bates, D., P. Courant, C. Hesse, K. Hoekstra, M. Lovell, J. Midgley, G. Nunberg, P. Papadopoulos, H. Schiraldi, G. Sposito, P.B. Stark, and M. van Houweling, 2013. Final Report of the Commission on the Future of the UC Berkeley Library
    http://evcp.berkeley.edu/sites/default/files/FINAL_CFUCBL_report_10.16.13.pdf
  143. Stark, P.B., 2013. Leave Election Integrity to Chance, The Huffington Post, 12 July 2013. http://www.huffingtonpost.com/american-statistical-association/leave-election-integrity-_b_3580649.html
  144. Stark, P.B., and R. Freishtat, 2013. Evaluating Evaluations, Part 1: Do student evaluations measure teaching effectiveness?, The Berkeley Teaching Blog, 9 October 2013. http://teaching.berkeley.edu/blog/evaluating-evaluations-part-1
    The Berkeley Blog, 14 October 2013.
    http://blogs.berkeley.edu/2013/10/14/do-student-evaluations-measure-teaching-effectiveness/
  145. Stark, P.B., and R. Freishtat, 2013. What Evaluations Measure, Part 2: What exactly do student evaluations measure?, The Berkeley Teaching Blog, 17 October 2013. http://teaching.berkeley.edu/blog/what-evaluations-measure-part-ii
    The Berkeley Blog, 21 October 2013.
    http://blogs.berkeley.edu/2013/10/21/what-exactly-do-student-evaluations-measure/
  146. Stark, P.B., 2015. Review of Privacy, Big Data, and the Public Good: Frameworks for Engagement, by J. Lane, V. Stodden, S. Bender, and H. Nissenbaum, eds., The American Statistician, in press. Invited.

    Working Drafts
  147. Stark, P.B., 2011. Audits Conducted Under California AB 2023 in 2011. Working draft.
    http://www.stat.berkeley.edu/~stark/Preprints/ab2023_2011.pdf

Software

  1. Stark, P.B., and R.L. Parker, 1994. BVLS (Bounded-Variable Least Squares), STATLIB (Carnegie-Mellon University ftp server)
    http://lib.stat.cmu.edu/general/bvls
  2. Java Applets for Statistics
    http://www.stat.berkeley.edu/~stark/Java/Html/index.htm
  3. Millman, K., K. Ottoboni, P.B. Stark, and S. van der Walt, 2015. permute — a Python package for permutation tests
    https://github.com/statlab/permute
  4. Tools for election audits
    http://www.stat.berkeley.edu/~stark/Vote/auditTools.htm
    http://www.stat.berkeley.edu/~stark/Vote/ballotPollTools.htm
    https://github.com/pbstark/auditTools
    https://github.com/pbstark/DKDHondt14
  5. Miscellaneous software:
    http://www.stat.berkeley.edu/~stark/Code

Selected Presentations

181. Reaping without Sowing: Wild Food and Urban Foraging, Berkeley Food Institute Seed Grant Forum, Berkeley, CA, 6 May 2015. http://www.stat.berkeley.edu/~stark/Seminars/bfi-15-5-6.htm Video: http://food.berkeley.edu/seed-grant-forum/
180. Invited panelist, Data Science: Supporting new Modes of Research, Annual Meeting of the Association of Research Libraries, Berkeley, CA, 28–30 April, 2015.
179. Teaching evaluations: class act or class action?, National Center for the Study of Collective Bargaining in Higher Education and the Professions, Annual Conference, Hunter College, New York, NY, 19–21 April 2015. http://www.stat.berkeley.edu/~stark/Seminars/setNCSCB15.htm
178. Where the Wild Things Grow, Berkeley Path Wanderers Association, Berkeley, CA, 4 April 2015. http://berkeleypaths.org/events/event/where-the-wild-things-grow/
177. Invited panelist, Brave New Audits: How We Can Implement Risk-Limiting Audits with Today’s Machines, Off-the-Shelf Hardware, and Open Source Software, 2015 Election Verification Network Annual meeting, New Orleans, LA, 4–6 March 2015. http://www.stat.berkeley.edu/~stark/Seminars/evn15.htm
176. Co-chair, Election Auditing, NIST / U.S. Election Administration Commission Future of Voting Systems Symposium II, Washington, DC, 9–10 February 2015.
175. Teaching evaluations: truthful or truthy?, European Commission Joint Research Centre Third Lisbon Research Workshop on Economics, Statistics and Econometrics of Education, Lisbon, Portugal, 23–24 January 2015. http://cemapre.iseg.ulisboa.pt/educonf/3e3/ http://www.stat.berkeley.edu/~stark/Seminars/setLisbon15.htm
174. Bad Numbers, Bad Policy, 5th Impact Assessment Course by the Joint Research Centre and the Secretariat General of the European Commission, Brussels, Belgium, 20–21 January 2015. https://ec.europa.eu/jrc/en/event/training-course/5th-impact-assessment-course http://www.stat.berkeley.edu/~stark/Seminars/fauxBrux15.htm
173. Quantifauxcation, European Commission Joint Research Centre, Ispra, Italy, 19 January 2015. http://www.stat.berkeley.edu/~stark/Seminars/fauxIspra15.htm
172. Preproducibility for Research, Teaching, Collaboration, and Publishing, Replicability and Reproducibility of Discoveries in Animal Phenotyping, Tel Aviv University, Tel Aviv, Israel, 5–7 January 2015. http://www.stat.berkeley.edu/~stark/Seminars/reproTAU15.htm
171. Urban Foraging—Real Street Food, Discover Cal: A Menu for Change, Los Angeles, CA, 18 November 2014. http://www.stat.berkeley.edu/~stark/Seminars/discoverCalLA14.htm
170. Guest lecturer, 6.S897/17.S952: Elections and Voting Technology, MIT, 13 November 2014.
169. Open Geospatial Data Down in the Weeds: Urban Foraging, Food Deserts, Citizen Science, Sustainability, and Reproducibility, Assessing the Socioeconomic Impacts and Value of ‘Open’ Geospatial Information, The George Washington University, Washington DC, 28–29 October 2014. http://www.stat.berkeley.edu/~stark/Seminars/openGeospatial14.htm
168. Student Evaluations of Teaching, University of San Francisco, 23 October 2014. http://www.stat.berkeley.edu/~stark/Seminars/setUSF14.htm
167. Guest lecturer, CS 76N: Elections and Technology, Stanford University, 14 October 2014.
166. Statistical Evidence and Election Integrity, XXIX International Forum on Statistics, UPAEP, Puebla, Mexico, 29 September–3 October 2014. http://www.stat.berkeley.edu/~stark/Seminars/foro14.pdf
165. Nonparametric Inference, Auditing, and Litigation, Short course at XXIX International Forum on Statistics, UPAEP, Puebla, Mexico, 29 September–3 October 2014. https://github.com/pbstark/MX14
164. Invited participant, Pew Charitable Trusts roundtable: Challenges Related to the Voting Systems Marketplace, Chicago, IL, 8 September 2014.
163. Invited panelist, U.S. Election Assistance Commission roundtable: Expanding the Body of Knowledge of Election Administration–Reflections and Future Direction, 3 September 2014. http://www.eac.gov/eac_grants_expanding_the_body_of_knowledge_of_election_administration_\%E2\%80\%93_reflections_and_future_dire/ Video: http://mediasite.yorkcast.com/webcast/Play/a90f223fa61940cd893b70fab55fe1b51d
162. Reproducibility, Evidence, and the Scientific Method, Late-breaking session on Reproducibility, Joint Statistical Meetings, Boston, MA, 2–7 August 2014. http://www.stat.berkeley.edu/~stark/Seminars/reproJSM14.htm
161. Invited panelist, Big Data & Academic Libraries, International Alliance of Research Universities, 3rd Librarians’ Meeting, University of California, Berkeley, CA, 23–24 June 2014.
160. Mini-Minimax Uncertainty Quantification for Emulators, 2nd Conference of the International Society for Nonparametric Statistics, Cadiz, Spain, 11–16 June 2014. http://www.stat.berkeley.edu/~stark/Seminars/emulatorISNPS14.pdf
159. Reproducible and Collaborative Statistical Data Science, Transparency Practices for Empirical Social Science Research, 2014 Summer Institute, University of California, Berkeley, CA, 2–6 June 2014. http://www.stat.berkeley.edu/~stark/Seminars/bitss14.pdf
158. Risk-Limiting Audits for Denmark and Mongolia, Third DemTech Workshop on Danish Elections, Trust, and Technology for the Mongolian General Election Commission, IT University of Copenhagen, Copenhagen, Denmark, 24 May 2014. http://www.stat.berkeley.edu/~stark/Seminars/itu14.pdf
157. How to Lie With Big Data (and/or Big Computations), Panel on Data Deluge or Drought (Quality and Quantity), MPE13+ Workshop on Global Change, DIMACS Special Program: Mathematics of Planet Earth 2013+, University of California, Berkeley, CA, 19–21 May 2014. http://www.stat.berkeley.edu/~stark/Seminars/mpe14.pdf
156. Invited panelist, Relying on Data Science: Reproducible Research and the Role of Policy, DataEDGE conference, UC Berkeley School of Information, Berkeley, CA, 8–9 May 2014.
155. Invited panelist, Some Tools and Solutions, University of Washington / Moore–Sloan First Reproducibility Workshop, eScience Institute, University of Washington, Seattle, WA, 8 May 2014 http://www.stat.berkeley.edu/~stark/Seminars/reproUW14.pdf
154. Some people have all the luck, public lecture, Institute for Pure and Applied Mathematics, UCLA, Los Angeles, CA, 28 April 2014. (with Skip Garibaldi and Lawrence Mower) http://www.ipam.ucla.edu/programs/PUBLEC2014/ Video: https://www.youtube.com/watch?v=s8cHHWNblA4
153. Invited panelist, Ask a Statistician, SIAM/ASA/GAMM/AGU Conference on Uncertainty Quantification, Savannah, GA, 29 March – 3 April 2014.
152. Invited panelist, The Reliability of Computational Research Findings: Reproducible Research, Uncertainty Quantification, and Verification & Validation, SIAM/ASA/GAMM/AGU Conference on Uncertainty Quantification, Savannah, GA, 29 March – 3 April 2014. http://www.stat.berkeley.edu/~stark/Seminars/reproUQ14.pdf Video: http://client.blueskybroadcast.com/SIAM14/UQ/siam_uq14_MS42_3
151. Invited panelist, New Paradigms for Voting Systems, 2014 Election Verification Network Annual meeting, San Diego, CA, 5–7 March 2014. http://www.stat.berkeley.edu/~stark/Seminars/evn14NewParadigms.pdf Video: https://www.youtube.com/watch?v=bTlHYkiYBZI
150. Invited panelist, End-to-End Verifiable Voting Roundtable, 2014 Election Verification Network Annual meeting, San Diego, CA, 5–7 March 2014. Video: https://www.youtube.com/watch?v=jsGSQV_rFzA
149. Invited panelist, Improving Teaching through uncharted Waters: Peer Observation and other Approaches, Dialogues, a Colloquium Series on Teaching, Center for Teaching and Learning, University of California, Berkeley, 26 February 2014. http://teaching.berkeley.edu/dialogues-colloquium-series-teaching
148. Invited panelist, Unpacking the Voting Technology Debate, 2014 Voting and Elections Annual Summit, Overseas Vote Foundation and U.S. Vote Foundation, George Washington University, Washington, D.C., 30 January 2014. https://www.overseasvotefoundation.org/initiatives-UOCAVAsummit-summit2014-agenda Video: http://www.youtube.com/watch?v=UXqqnOWhsmA\&list=PLtRB8fQ0zBR8Nza-G-RGln-HTrkp4UM6F\&feature=share\&index=1\#t=23m30s
147. Risk-Limiting Audits for Party-List Elections. IT University of Copenhagen, Copenhagen, Denmark, 21 November 2013. http://www.stat.berkeley.edu/~stark/Seminars/itu13.pdf
146. Selective Inference and Conditional Tests. Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel, 28 October 2013.
145. Ontology of Earthquake Probability: Metaphor. Dynamics of Seismicity, Earthquake Clustering and Patterns in Fault Networks, Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, NC, 9–11 October 2013. http://www.stat.berkeley.edu/~stark/Seminars/samsiSeis13.pdf
144. Invited panelist, Innovations in On-line Learning, Designing a World University, World Academy Forum on Global Higher Education, Berkeley, California, 2–3 October 2013.
143. E2E to Hand-to-Eye: Verifiability, Trust, Audits, Vote ID 2013: The 4th International Conference on e-Voting and Identity, University of Surrey, Guildford, UK 17–19 July 2013. http://www.stat.berkeley.edu/~stark/Seminars/voteID13.pdf
142. Mini-Minimax Uncertainty of Emulators, Center for Security, Reliability, and Trust, University of Luxembourg, Luxembourg, 9 July 2013. http://www.stat.berkeley.edu/~starkstark/Seminars/emulatorLux13.pdf
141. Invited panelist, Extracting Actionable Insight From Dirty Time-Series Data, Berkeley Research Data Science Lectures, University of California, Berkeley, 21 June 2013. Video: http://vcresearch.berkeley.edu/datascience/webcast-data-science-lecture-series-june-21
140. Uncertainty quantification for emulators, Dipartimento di Fisica e Astronomia, Universitŕ di Bologna, Bologna, Italy, 5 June 2013. http://www.stat.berkeley.edu/~stark/Seminars/emulatorUniBo13.pdf
139. Leveraging Paper Ballots, Running Elections Efficiently, A Best Practices Convening, Common Cause – Common Cause / NY – Columbia University School of International and Public Affairs, Columbia University, New York, NY, 20 May 2013. http://www.stat.berkeley.edu/~stark/Seminars/ccNY13.pdf
138. Uncertainty quantification for emulators, University of California, Los Angeles, 11 April 2013. http://www.stat.berkeley.edu/~stark/Seminars/emulatorUCLA13.pdf
137. Brittle and Resilient Verifiable Voting Systems, Verifiable Voting Schemes Workshop: from Theory to Practice, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg 21–22 March 2013. http://www.stat.berkeley.edu/~stark/Seminars/vv13.pdf
136. Now What?, Election Verification Network Annual Conference, The Right to a Secure, Transparent and Accurate Election, Atlanta, Georgia 14–15 March 2013. http://www.stat.berkeley.edu/~stark/Seminars/evn13nowWhat.pdf
135. Machine-Assisted Transitive Audits, Election Verification Network Annual Conference, The Right to a Secure, Transparent and Accurate Election, Atlanta, Georgia 14–15 March 2013.
134. Risk-limiting Audits and Evidence-Based Elections in a Nutshell, Election Verification Network Annual Conference, The Right to a Secure, Transparent and Accurate Election, Atlanta, Georgia 14–15 March 2013. http://www.stat.berkeley.edu/~stark/Seminars/evn13nutshell.pdf
133. Reproducibility in Computational and Experimental Mathematics, ICERM, Brown University, Providence, RI, 10–14 December 2012. http://icerm.brown.edu/tw12-5-rcem
132. Whaddya know? Bayesian and Frequentist approaches to inverse problems, Inverse Problems: Practical Applications and Advanced Analysis, Schlumberger WesternGeco, Houston, TX, 12–15 November 2012. http://www.stat.berkeley.edu/~stark/Seminars/swg12.pdf
131. Evidence-Based Elections, E-Voting: Risk and Opportunity Conference, Center for Information Technology Policy, Princeton University, Princeton, NJ, 1 November 2012. http://www.stat.berkeley.edu/~stark/Seminars/princeton12.pdf Video: http://youtu.be/1Z6JW1t_sFI
130. Evidence-Based Elections, Berkeley/Stanford Data, Society and Inference Seminar, Stanford University, Stanford, CA 8 October 2012. http://www.stat.berkeley.edu/~stark/Seminars/dataSocietyInference12.pdf
129. Voting Technology Exploratory Meeting, The Pew Charitable Trusts Center on the States, Santa Monica, CA 23–24 August 2012.
128. Lightning Debates, Workshop on Electronic Voting Technology / Workshop on Transparent Elections, (EVT/WOTE ’12), USENIX, Bellevue, WA, 6–7 August 2012. Video: https://www.usenix.org/conference/evtwote12/panel-2-title-tbd
127. BRAVO: Ballot-polling Risk-limiting Audits to Verify Outcomes, Workshop on Electronic Voting Technology / Workshop on Transparent Elections, (EVT/WOTE ’12), USENIX, Bellevue, WA, 6–7 August 2012. http://www.stat.berkeley.edu/~stark/Seminars/evt12.pdf Video: https://www.usenix.org/conference/evtwote12/s6-paper-title-tbd
126. The Will of the People and the Luck of the Draw: Using Statistics to Limit the Risk of Wrong Electoral Outcomes, Joint Statistical Meetings, San Diego, CA, 29 July 2012. http://www.stat.berkeley.edu/~stark/Seminars/jsm12.pdf
125. Evidence-Based Elections, Risk-Limiting Audits, and Resilient Canvass Frameworks, SecVote 2012 Summer School on Secure Voting, Leibniz-Zentrum für Informatik, Schloss Dagstuhl, Germany, 16 July 2012. http://www.stat.berkeley.edu/~stark/Seminars/dagstuhl12.pdf
124. The Effectiveness of Internet Content Filters, Distinguished Lecture (http://wwwen.uni.lu/snt/distinguished_lectures), Center for Security, Reliability, and Trust, University of Luxembourg, Luxembourg, 13 July 2012. http://www.stat.berkeley.edu/~stark/Seminars/luxembourg12.pdf
123. Evidence-Based Elections, International Association of Clerks, Recorders, Election Officials & Treasurers (IACREOT) annual conference, Albuquerque, NM, 30 June 2012. http://www.stat.berkeley.edu/~stark/Seminars/iacreot12.pdf
122. Confidence Limits, Progress on Statistical Issues in Searches, SLAC National Accelerator Laboratory, Stanford, CA, 4–6 June 2012. http://www.stat.berkeley.edu/~stark/Seminars/slac12.pdf
121. UQQ, UQ: Transition Workshop, Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, NC, 21–23 May 2012. http://www.stat.berkeley.edu/~stark/Seminars/samsi12.pdf
120. Testing for Poisson Behavior, Seismological Society of America Annual Meeting, San Diego, CA, 17–19 April 2012. http://www.stat.berkeley.edu/~stark/Seminars/ssa12.pdf
119. Get Out The Audit (GOTA), Election Verification Network Annual Conference, Santa Fe, NM, 29–30 March 2012. http://www.stat.berkeley.edu/~stark/Seminars/evnGOTA12.pdf
118. The Long View: Evidence-Based Elections, Election Verification Network Annual Conference, Santa Fe, NM, 29–30 March 2012. http://www.stat.berkeley.edu/~stark/Seminars/evnLongView12.pdf
117. The Will of the People and the Luck of the Draw: Risk-Limiting Audits and Resilient Canvass Frameworks, San Francisco Chapter of the American Statistical Association, Berkeley, CA, 16 February 2012. http://www.stat.berkeley.edu/~stark/Seminars/asa12.pdf
116. Evidence-Based Elections: Colorado’s Future?, Colorado Elections Best Practices & Vision Commission, Denver, CO, 14 December 2011. http://www.stat.berkeley.edu/~stark/Seminars/co-11-12-14.pdf Audio: mms://pub.sos.state.co.us/20111214130705B
115. From the Virtual Trenches, Letters and Sciences Colloquium on Undergraduate Education: The Virtual University—Challenges and Opportunities, University of California, Berkeley, CA, 16 November 2011. http://ls.berkeley.edu/stories/archive/fall-2011-colloquium-undergraduate-education-0 http://www.stat.berkeley.edu/~stark/Seminars/onlineEd11.pdf Video: http://www.youtube.com/watch?v=40vGDuPSJso
114. Earthquake Clustering and Declustering, Institute de Physique du Globe de Paris, Paris, France, 4 October 2011. http://www.stat.berkeley.edu/~stark/Seminars/ipg11.pdf
113. Fears, Predictions, Hopes & Plans, Panel on the Future, Election Integrity: Past, Present, and Future, Caltech/MIT Voting Technology Project, Cambridge, MA, 1 October 2011. http://www.stat.berkeley.edu/~stark/Seminars/mit11.pdf Video: http://techtv.mit.edu/collections/vtp/videos/14802-eippf-2011-3-the-future
112. Risk-limiting Audits: Soup to Nuts, and Beyond, Workshop on Electronic Voting Technology / Workshop on Transparent Elections, (EVT/WOTE ’11), USENIX, San Francisco, CA, 9 August 2011. http://www.stat.berkeley.edu/~stark/Seminars/evtRLA11.pdf
111. SOBA: Secrecy-preserving Observable Ballot-level Audit, Workshop on Electronic Voting Technology / Workshop on Transparent Elections, (EVT/WOTE ’11), USENIX, San Francisco, CA, 9 August 2011. http://www.stat.berkeley.edu/~stark/Seminars/evtSoba11.pdf
110. The Effectiveness of Internet Content Filtering, Workshop on Free and Open Communication on the Internet (FOCI ’11), USENIX, San Francisco, CA, 8 August 2011. http://www.stat.berkeley.edu/~stark/Seminars/foci11.pdf
109. SticiGui, Onsophic, and Statistics W21, Panel on online instruction, Joint Statistical Meetings, Miami Beach, FL, 31 August 2011. http://www.stat.berkeley.edu/~stark/Seminars/jsm11.pdf
108. Risk Limiting Audits, Colorado Secretary of State, Colorado Risk Limiting Audit (CORLA) Kick-off Meeting, Denver, CO, 16 June 2011. http://www.stat.berkeley.edu/~stark/Seminars/co-11-6-16.pdf
107. Simultaneous Confidence Intervals with more Power to Determine Signs, Conference in honor of Erich Lehmann, Rice University, Houston, TX, 12 May 2011. http://www.stat.berkeley.edu/~stark/Seminars/lehmann11.pdf
106. Close enough for government [to] work, Verified Voting Foundation, Palo Alto, CA, 27 April 2011. http://www.stat.berkeley.edu/~stark/Seminars/vv-11-4-27.pdf
105. Close enough for government [to] work: Risk-limiting post-election audits, Berkeley-Stanford Joint Statistics Colloquium, Stanford University, Stanford, CA, 12 April 2011. http://www.stat.berkeley.edu/~stark/Seminars/stanford11.pdf
104. Audits: The After-Math of Elections, Verify early, verify often: creating secure, transparent and accurate elections, Election Verification Network, Chicago, IL, 25–26 March 2011. http://www.stat.berkeley.edu/~stark/Seminars/reed11.pdf
103. Simultaneous Confidence Intervals with more Power to Determine Signs, Department of Mathematics, Reed College, Portland, OR, 10 March 2011. http://www.stat.berkeley.edu/~stark/Seminars/reed11.pdf
102. Close enough for government work: Risk-Limiting Post-Election Audits, Wharton Statistics Department, University of Pennsylvania, Philadelphia, PA, 26 January 2011. http://www.stat.berkeley.edu/~stark/Seminars/penn11.pdf
101. Audits: The After-Math of Election Reform, Conference on Innovative Electoral Reforms and Strategies, Washington, DC, 10–11 December 2010. http://www.stat.berkeley.edu/~stark/Seminars/innovative10.pdf
100. Risk-Limiting Post-Election Audits: Statistics, Policy, and Politics, Department of Statistics, Rice University, Houston, TX, 1 November 2010. http://www.stat.berkeley.edu/~stark/Seminars/rice10.pdf
99. Are Declustered Earthquake Catalogs Poisson?, Department of Statistics, Pennsylvania State University, State College, PA, 14 October 2010. http://www.stat.berkeley.edu/~stark/Seminars/psu10.pdf
98. Super-simple simultaneous single-ballot risk-limiting audits, 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE ’10), Washington, DC, 9–10 August 2010. http://www.stat.berkeley.edu/~stark/Seminars/evtwote10.pdf
97. AB 2023 and Risk-Limiting Audits, California Association of Clerks and Election Officials Legislative Committee Meeting, 14 May 2010. http://www.stat.berkeley.edu/~stark/Seminars/caceo-legis10.pdf
96. Justice and inequalities, Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel, 13 April 2010. http://www.stat.berkeley.edu/~stark/Seminars/tau10.pdf
95. Size Matters: Smaller Batches Yield More Efficient Risk-Limiting Audits, Small-Batch Audit Meeting, Washington, DC, 27–28 March 2010. http://www.stat.berkeley.edu/~stark/Seminars/smallBatch10.pdf
94. Sexy Audits and the Single Ballot, Election Verification Network (EVN) annual conference, Washington, DC, 25–27 March 2010. http://www.stat.berkeley.edu/~stark/Seminars/evn10.pdf
93. Simple, Affordable, Post-Election Audits, Institute for Mathematical Behavioral Sciences, University of California, Irvine, CA, 7 January 2010. http://www.stat.berkeley.edu/~stark/Seminars/uci10.pdf
92. Efficient Post-Election Audits of Multiple Contests: 2009 California Tests, Conference on Empirical Legal Studies, University of Southern California Gould School of Law, Los Angeles, CA, 20–21 November 2009. http://www.stat.berkeley.edu/~stark/Seminars/cels09.pdf
91. Risk-Limiting Audits, Audit Working Meeting, American Statistical Association, Arlington, VA, 23–24 October 2009. http://www.stat.berkeley.edu/~stark/Seminars/asa09.pdf
90. Invited panelist, Uncertainty Quantification and Error Analysis, Scientific Grand Challenges in National Security: the Role of Computing at the Extreme Scale, Washington, DC, 6–8 October 2009.
89. Some Ado about (mostly) Nothing: zero-dominated data, Alameda County Workshop on Avian Mortality at Altamont, Emeryville, CA, 22 September 2009. http://www.stat.berkeley.edu/~stark/Seminars/altamont09.pdf
88. Freedman’s Dialogue with the Social Sciences, 2009 Joint Statistical Meetings, Washington, DC, 5 August 2009.
87. Invited panelist, David A. Freedman’s Dialogue with the Social Sciences, The Society for Political Methodology 26th Annual Summer Meeting, Institution for Social and Policy Studies, Yale University, New Haven, CT, 23 July 2009.
86. Election Auditing: How Much is Enough?, The Society for Political Methodology 26th Annual Summer Meeting, Institution for Social and Policy Studies, Yale University, 23 July 2009. (Keynote lecture) http://www.stat.berkeley.edu/~stark/Seminars/polMeth09.pdf
85. Risk-Limiting Post-Election Audits, Department of Statistics, University of California, Berkeley, CA, 31 March 2009. http://www.stat.berkeley.edu/~stark/Seminars/ucb09.pdf
84. Uncertainty Quantification Qualification, Lawrence Livermore National Laboratory, Livermore, CA, 26 March 2009. http://www.stat.berkeley.edu/~stark/Seminars/llnl09.pdf
83. 2008 Risk-limiting Audits in California, The Pew Charitable Trusts Audit Workshop, Salt Lake City, UT, 23–24 February 2009. http://www.stat.berkeley.edu/~stark/Seminars/pew09.pdf
82. Election Auditing and Nonparametric Confidence Bounds, Department of Mathematics, Reed College, Portland, OR, 20 November 2008. http://www.stat.berkeley.edu/~stark/Seminars/reed08.pdf
81. Risk-Limiting Post-Election Audits, Department of Statistics, Kansas State University, Manhattan, KS, 2 October 2008. http://www.stat.berkeley.edu/~stark/Seminars/ksu08.pdf
80. CAST: Canvass Audits by Sampling and Testing, 2008 American Political Science Association Annual Meeting, Panel 2008MP04292: Catch Me If You Can: Techniques to Detect Electoral Fraud, Boston, MA, 28–31 August 2008. http://www.stat.berkeley.edu/~stark/Seminars/apsa08.pdf
79. Invited panelist, Joint Statistical Meetings session, Statistical Measures Can Help Restore Confidence in U.S. Elections, Denver, CO, 3–7 August 2008.
78. Invited Panel on Post-Election Auditing: The Academic & Advocacy Perspective, California Association of Clerks and Election Officials (CACEO) 100th Anniversary Celebration Conference, Long Beach, CA, 8–11 July 2008.
77. Statistical Audits: Why and How Much?, Invited Panel on Post-Election Auditing: Practical Experience and Best Practices, California Association of Clerks and Election Officials (CACEO) 100th Anniversary Celebration Conference, Long Beach, CA, 8–11 July 2008. http://www.stat.berkeley.edu/~stark/Seminars/caceo08.pdf
76. Invited Panel on Online Learning, UC21st Century, Teaching, Learning and Technology: Past, present and future, University of California, Davis, 20–21 June 2008.
75. SticiGui—What is it?, Department of Statistics, University of California, Los Angeles, CA, 29 May 2008. http://www.stat.berkeley.edu/~stark/Seminars/ucla08.pdf
74. Election Auditing: How Much Is Enough?, Mathematical Sciences Research Institute, Annual Meeting of Academic Sponsors and Steering Committee, Berkeley, CA, 7 March 2008. http://www.stat.berkeley.edu/~stark/Seminars/msri08.pdf
73. Invited panelist, 2007 Post Election Audit Summit, Minneapolis, MN, 25–27 October 2007. http://www.stat.berkeley.edu/~stark/Seminars/peaSummit07.pdf
72. Urning Voter Confidence, Department of Mathematics, Reed College, Portland, OR, 11 October 2007. http://www.stat.berkeley.edu/~stark/Seminars/reed07.pdf
71. Frequentist Methods in Inverse Problems, Sandia CSRI Workshop on Large-Scale Inverse Problems and Quantification of Uncertainty, Santa Fe, NM, 10–12 September 2007. http://www.stat.berkeley.edu/~stark/Seminars/sandia07.odp
70. How Statistics Helps, 9th US Congress on Computational Mechanics, San Francisco, CA, 22–26 July 2007. http://www.stat.berkeley.edu/~stark/Seminars/compMech07.odp
69. Nonparametrics: nonpareil?, Veterans Administration Hospital, Neuropsychology Brown Bag Lunch, Martinez, CA, 15 May 2007. http://www.stat.berkeley.edu/~stark/Seminars/ebire-5-15-07.pdf
68. Shaking Down Earthquake Predictions, Department of Statistics, University of California, Davis, 25 May 2006 http://www.stat.berkeley.edu/~stark/Seminars/ucd-5-25-06.pdf
67. Measuring Resolution in Nonlinear and Constrained Inverse Problems, Workshop on Statistical Inverse Problems, Institute for Mathematical Stochastics, Göttingen, Germany, 23–25 March 2006. http://www.num.math.uni-goettingen.de/gk/?Workshops:Workshop_on_Statistical_Inverse_Problems
66. Resolution in Nonlinear and Constrained Inverse Problems, Workshop on Computational and Mathematical Geoscience, Colorado School of Mines, Golden CO, 15–17 June 2005.
65. Quantifying uncertainty in inverse problems, Summer school: Mathematical Geophysics and Uncertainty in Earth Models, Colorado School of Mines, Golden CO, 14–25 June 2004. http://www.stat.berkeley.edu/~stark/Seminars/mines04.pdf
64. Estimating power spectra of galaxy structure: can Statistics help?, Penetrating bars through masks of cosmic dust: the Hubble tuning fork strikes a new note, Pilanesberg National Park, South Africa, 7–12 June 2004. http:www.stat.berkeley.edu/~stark/Seminars/bars04.ppt
63. Quantifying uncertainty in inverse problems, Institute for Pure and Applied Mathematics (IPAM) Conference on Statistical Methods for Inverse Problems, IPAM, Los Angeles, CA, 5–6 November 2003. http://www.stat.berkeley.edu/~stark/Seminars/ipam03.ppt
62. Using what we know: inference with physical constraints, PhyStat 2003: Statistical Problems in Particle Physics, Astrophysics and Cosmology, Stanford Linear Accelerator Center, Stanford, CA, 8–10 September 2003. http://www.stat.berkeley.edu/~stark/Seminars/phyStat03.pdf
61. Statistical Approaches to Inverse Problems. Danish Interdisciplinary Inversion Group Seminars on Inverse Problems: Insight and Algorithms. Niels Bohr Institute, Copenhagen University, Copenhagen, Denmark, 27–29 May 2002. http://www.stat.berkeley.edu/~stark/Seminars/bohr02.ppt
60. Statistical Measures of Uncertainty in Inverse Problems. Institute for Mathematics and its Applications Tutorial on Inverse Problems and the Quantification of Uncertainty, Annual Program Mathematics in the Geosciences, Minneapolis, MN, 19 March 2002. http://www.stat.berkeley.edu/~stark/Seminars/ima02.ppt
59. Data Errors, Model Errors, and Estimation Errors, Frontiers of Geophysical Inversion Workshop, Waterways Experiment Station, U.S. Army Corps of Engineers Engineer Research and Development Center, Vicksburg, MS, 17–19 February 2002. http://www.stat.berkeley.edu/~stark/Seminars/wes02.ppt
58. Strategic Planning and Implementation I: The Challenge of Adapting Organizations and Creating Partnerships to Target New Markets, University Teaching as E-business?, Center for Studies in Higher Education, Berkeley, CA, 26–27 October 2001.
57. Inverse Problems and Data Errors, New Developments in Astrophysical Fluid Dynamics, Chateau de Mons, Caussens, France, 25–29 June 2001.
56. Data Reduction and Inverse Problems in Helioseismology, Workshop Statistics of inverse problems, Institut Henri Poincaré, Paris, France, 28–29 May 2001.
55. Why Statistics is worth the Stigma, Letters and Sciences Faculty Forum, University of California, Berkeley, CA, 23 April 2001. http://www.stat.berkeley.edu/~stark/Seminars/stigma01.ppt
54. Inverse Problems in Helioseismology, Second MaPhySto Workshop on Inverse Problems: Inverse problems from a Statistical Perspective, Aalborg, Denmark, 28–31 March 2001.
53. What are the Chances?, NATO Advanced Research Workshop: State of scientific knowledge regarding earthquake occurrence and implications for public policy, Le Dune, Piscinas — Arbus, Sardinia, Italy, 15–19 October 2000.
52. Why Unadjusted Census Results should be Used for Reapportionment and Funding within the State of California, 13th Annual Demographic Workshop, U.S. Bureau of the Census, California State Census Data Center, and the Population Research Laboratory of the University of Southern California, Los Angeles, CA, 15 May 2000.
51. Invited discussant, Workshop of the National Academy of Sciences Panel to Review the 2000 Census, Washington, D.C., 2–3 February 2000.
50. Invited discussant, Panel discussion on the role of sampling in the US Census, San Francisco Bay Area Chapter of the American Statistical Association, 20 December 1999.
49. Lecturer, Mathematical Geophysics Summer School, Stanford University, Stanford, CA, 2–20 August 1999.
48. Less Asymptotic Tomography. 9th SOHO Workshop: Helioseismic Diagnostics of Solar Convection and Activity, Stanford University, Stanford, CA, 12–15 July 1999.
47. Invited panelist, Reinventing Undergraduate Education: Technology Enhanced Learning in the Sciences, Math, and Engineering, University of California, Berkeley, CA, 23 April 1999.
46. Error in Numerical Models Fitted to Data. DSRC/DARPA Study on Numerical Simulation of Physical Systems: The State of the Art, and Opportunities for Further Advances, Kick-Off Meeting, Arlington, VA, 19–20 January 1999. http://www.stat.berkeley.edu/~stark/Seminars/dsrc99.htm
45. Sampling to Adjust the U.S. Census. Miller Institute for Basic Research in Science, University of California, Berkeley, CA, 12 January 1999. http://www.stat.berkeley.edu/~stark/Seminars/mibrs99.htm
44. A Statistician’s Perspective on Census Adjustment, Berkeley Breakfast Club, Berkeley, CA, 5 December 1998. http://www.stat.berkeley.edu/~stark/Seminars/bbc98.htm
43. SticiGui: Melts in your Browser, not in your Brain, Joint Berkeley-Stanford Statistics Colloquium, Department of Statistics, Stanford University, Stanford, CA, 27 October 1998. http://www.stat.berkeley.edu/~stark/Seminars/bsc98.htm
42. SticiGui: Statistics Tools for Internet and Classroom Instruction with a Graphical User Interface, 1998 Joint Statistical Meetings of the American Statistical Association, International Biometric Society, and Institute of Mathematical Statistics, Orlando, FL, 12 August 1998.
41. Presidential Panel on Statistics in Public Policy, 1998 Joint Statistical Meetings of the American Statistical Association, International Biometric Society, and Institute of Mathematical Statistics, Orlando, FL, 10 August 1998.
40. Misfit Measures and Statistical Inconsistency in Linear Inverse Problems. AMS/IMS/SIAM Joint Summer Research Conferences in the Mathematical Sciences, Mathematical Methods in Inverse Problems for Partial Differential Equations, Mt. Holyoke, MA, 4–9 July 1998. http://www.stat.berkeley.edu/~stark/Seminars/ams-ims-siam-98.pdf
39. Uncertainties for functions from incomplete, erroneous data. NSF/DOE Workshop on Uncertainty in Modeling, National Science Foundation, Arlington, VA, 11–12 June 1998. http://www.stat.berkeley.edu/~stark/Seminars/nsf-doe-98.htm
38. Sampling to adjust the 1990 Census for Undercount. U.S. House of Representatives Subcommittee on the Census, May 1998. http://www.stat.berkeley.edu/~stark/Census/house-5-5-98-pbs.pdf
37. Sounding the Sun: Helioseismology. 1998 American Association for the Advancement of Science (AAAS) Annual Meeting and Science Innovation Exposition, Philadelphia, PA., February 1998. http://www.stat.berkeley.edu/~stark/Seminars/Aaas/helio.htm
36. Data Sampling Rate Reduction for the OERSTED geomagnetic Satellite, Department of Geological Sciences, Stanford University, Stanford, CA, 28 July 1997. http://www.stat.berkeley.edu/~stark/Preprints/Oersted/writeup.htm
35. Does God play dice with the Earth, and if so, are they loaded? Fourth SIAM Conference on Mathematical and Computational Methods in the Geosciences, Albuquerque, NM, 16 June 1997. http://www.stat.berkeley.edu/~stark/Seminars/doesgod.htm
34. Solving Problems for a Large Statistics Lecture Course using a Website UC Berkeley Academic Senate Workshop on Classroom Technology, Berkeley, CA, 11 April 1997. http://www.stat.berkeley.edu/~stark/Seminars/itpTalk.htm
33. Deficiencies of the simple theories, Local Helioseismology Workshop, University of Cambridge, Cambridge, England, 1997.
32. CMB’s, Royal Astronomical Society Ordinary Meeting, London, England, 1996.
31. The Null Hypothesis, Royal Astronomical Society and Joint Associations for Geophysics discussion meeting on Assessment of Schemes for Earthquake Prediction, London, England, 1996.
30. On the consistency of multiple inference in inverse problems using lp confidence sets, International Conference on Multiple Comparisons, Tel Aviv, Israel, 1996.
29. Confidence Intervals in Inverse Problems, Conference in Honor of George Backus, Institute for Geophysics and Planetary Physics, La Jolla, CA, 1995.
28. The Need for Wave-Equation Travel-Time Tomography, Institute for Mathematics and Its Applications, Conference on Tomography, Minneapolis, MN, 1995.
27. Inference, Prior Information, and Misfit Measures, Interdisciplinary Inversion Conference on Methodology, Computation and Integrated Applications, University of Aarhus, Aarhus, Denmark, 1995.
26. Optimization and Inference in Travel-Time Seismology, National Research Council Board on Mathematical Sciences Symposium on Mathematical Sciences in Seismology, Washington, DC, 1995.
25. Prior Information and Confidence Intervals in Inverse Problems, International Union of Geodesy and Geophysics Meeting, Boulder, CO, 1995.
24. Something AGAINST Nothing: A Confidence Game, Joint Statistical Meetings of the American Statistical Association, International Biometric Society, and Institute of Mathematical Statistics, Orlando, FL, 1995.
23. Uncertainties in Travel-Time Seismology, SIAM/GAMM Symposium on Inverse Problems: Geophysical Applications, Fish Camp, CA, 1995.
22. Toward Tubular Tomography, 27th General Assembly of the Int. Assoc. of Seismology and Phys. of the Earth’s Inter. (IASPEI), Wellington, New Zealand, 1994.
21. Alternative Data Analysis Techniques, Global Oscillation Network Group annual meeting, Los Angeles, CA, (presented by C. Genovese due to illness), 1994.
20. Mathematical Aspects of Integral Equation Inversion, Global Oscillation Network Group workshop, Sydney, Australia, 1994.
19. Conservative Finite-Sample Confidence Envelopes for Monotone and Unimodal Densities, Mathematisches Forschungsinstitut Oberwolfach meeting on Curves, Images and Massive Computation, Oberwolfach, Germany, 1993.
18. Invited discussant, Joint IMS/ASA/ENAR Meeting, Philadelphia, PA, 1993.
17. Uncertainty of the Quadrupole Component of the Cosmic Microwave Background, Israel Statistical Association Annual Meeting, Tel Aviv, 1993.
16. Brute-Force Minimax Estimation in Geochemistry, Joint Statistical Meetings of the American Statistical Association, International Biometric Society, and Institute of Mathematical Statistics, San Francisco, CA, 1993.
15. Conservative Numerical Uncertainty Estimates in Inverse Problems, SIAM 40th Anniversary Meeting, Los Angeles, CA, 1992.
14. Minimax Estimation in Geomagnetism, European Geophysical Society Annual Meeting, Wiesbaden, Germany, 1991.
13. Minimax Estimation in Geophysical Inverse Problems: Applications to Seismic Tomography and Geomagnetism, Schmitt Institute for Physics of the Earth, Academy of Sciences of the USSR, Moscow, 1991.
12. Imagining Earth’s Interior: Controversies in Seismology and Geomagnetism, Mathematical Sciences Research Institute Workshop on Statistical Methods in Imaging, Berkeley, CA, 1991.
11. Discretization and its Discontents: New Methods in Inverse Theory, Institute for Theoretical Physics program Helioseismology—Probing the Interior of a Star, National Science Foundation Institute for Theoretical Physics, University of California, Santa Barbara, 1990.
10. Inference in Infinite-Dimensional Inverse Problems, Schmitt Institute for Physics of the Earth, Academy of Sciences of the USSR, Moscow, 1990.
9. Inference in Infinite-Dimensions: Discretization and Duality, Israel Statistical Association Annual Meeting, Jerusalem, 1990.
8. Superresolution: What, When and How?, Institute for Theoretical Physics program Helioseismology—Probing the Interior of a Star, National Science Foundation Institute for Theoretical Physics, University of California, Santa Barbara, 1990.
7. Sparsity-Constrained Deconvolution, International Union of Radio Science Meeting, Boulder, CO, 1989.
6. Invited discussant, Statistics, Earth and Space Sciences Meeting of the Bernoulli Society, Leuven, Belgium, 1989.
5. Rigorous Computer Solutions to Infinite-Dimensional Inverse Problems, rcp 264 problemes inverses, Montpellier, France, 1989.
4. Duality and Discretization Error, Conference on Mathematical Geophysics, Blanes, Spain, 1988.
3. Spectral extrapolation with positivity, International Union of Radio Science Meeting, Boulder, CO, 1987.
2. Travel-Time Constraints on Core Structure, Special Session on Geophysics of the Core and Core-Mantle Boundary, American Geophysical Union Spring Meeting, Baltimore, MD, 1986.
1. Smooth Models from tau(p) and X(p) Data, Scripps Industrial Associates Short Course on Inverse Theory, Scripps Institution of Oceanography, La Jolla, CA, 1986.

Other Invited Seminars

Press

103. Student Evaluations: Feared, Loathed, and Not Going Anywhere. Stacey Patton, Chronicle of Higher Education, 19 May 2015. (Teaching evaluations) https://chroniclevitae.com/news/1011-student-evaluations-feared-loathed-and-not-going-anywhere 102. Q&A: Philip Stark. Rose Hayden-Smith, UC Food Observer, 11 May 2015. (Urban foraging, nutrition, food equity, food security, sustainability, ecology) http://ucfoodobserver.com/2015/05/11/qa-philip-stark/
101. Course evaluations get a failing grade in terms of effectiveness. Riley Vetterkind, The Badger Herald, 30 April 2015. (Evaluating teaching, misuse of statistics, gender bias) https://badgerherald.com/news/2015/04/30/course-evaluations-get-a-failing-grade-in-terms-of-effectiveness/
100. Dandelions Should Be the New Kale. Emiko Jozuka, Motherboard/Vice, 27 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://motherboard.vice.com/read/dandelions-should-be-the-new-kale// 99. Salad at Your Feet. Nicholas Boer, Diablo Magazine, 27 April 2015. http://www.diablomag.com/May-2015/Salad-at-Your-Feet/// 98. Weeds are the future of healthy eating. Jason Mark, Salon.com, 18 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.salon.com/2015/04/18/weeds_are_the_future_of_fine_dining_partner/// 97. Weed Eaters: Accompanying Berkeley’s Urban Foragers from Weed Patch to Dining Table. Kristine A. Wong, California Magazine, 15 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://alumni.berkeley.edu/california-magazine/just-in/2015-04-15/weed-eaters-accompanying-berkeleys-urban-foragers-weed-patch// 96. Up Front with Vylma V, KPFA Radio, 9 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) https://kpfa.org/episode/up-front-april-9-2015/ (at 30:02)// 95. Bay Area Restaurants Cooking Weeds for Wild Food Week. Don Ford, KPIX CBS News, 8 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://sanfrancisco.cbslocal.com/2015/04/08/bay-area-restaurants-cooking-weeds-wild-food-week/// 94. Weeds — They’re What’s for Dinner, Jason Mark, Earth Island Journal, 8 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.earthisland.org/journal/index.php/elist/eListRead/weeds_theyre_whats_for_dinner/// 93. The app that helps you discover edible weeds. Richard Taylor, BBC, 8 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.bbc.com/news/technology-32124855// 92. Wild Food Week Highlights Edible Weeds Going to Waste, Tamara Palmer, NBC Bay Area News, 6 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.nbcbayarea.com/news/local/Wild-Food-Week-298812881.html// 91. KCBS News, 4 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.contactlenzcommunications.com/sitebuildercontent/sitebuilderfiles/wildweedsreplay.mp3// 90. How do you convince people to eat weeds? Aarian Marshall, The Atlantic / CityLab, 3 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.citylab.com/work/2015/04/how-do-you-convince-people-to-eat-weeds/389357/// 89. Wild Weeds, Edible East Bay, 1 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://edibleeastbay.com/newsletter/wild-weeds/// 88. San Francisco Bay Restaurants Serving Weeds For Wild Food Week, Growing Magazine, 1 April 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.growingmagazine.com/take-control/san-francisco-bay-restaurants-serving-weeds-for-wild-food-week/// 87. Top San Francisco Bay Restaurants Serving ’Weeds’ All Next Week, Broadway World, 31 March 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.broadwayworld.com/bwwfood-wine/article/Top-San-Francisco-Bay-Restaurants-Serving-Weeds-All-Next-Week-20150331// 86. Slinging Weeds: Wild Food Week, Luke Tsai, East Bay Express, 31 March 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.eastbayexpress.com/WhatTheFork/archives/2015/03/31/slinging-weeds-wild-food-week// 85. Wild Food Week: Bay Area dinner series showcases foraged plants, Paolo Lucchesi , SF Gate, 26 March 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://insidescoopsf.sfgate.com/blog/2015/03/26/wild-food-week-bay-area-dinner-series-showcases-foraged-plants/// 84. Professors tell America’s poor to harvest weeds, Rhys Blakely, The Times of London, 7 March 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.thetimes.co.uk/tto/news/world/americas/article4375062.ece
83. Let Them Eat Weeds: App Helps People Forage Their Way out of Hunger, Sarah McColl, TakePart, 19 February 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.takepart.com/article/2015/02/19/foraging-apps-food-insecurity
82. The Food that Grows from Concrete, Olivia Cueva, KALW, 12 February 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://kalw.org/post/food-grows-concrete
81. Snacking In-Between Sidewalks: Mapping Abundance of Wild Edibles in the Bay Area’s Food Deserts, Angela Johnston, KQED Bay Area Bites, 5 February 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://blogs.kqed.org/bayareabites/2015/02/05/snacking-in-between-sidewalks-mapping-abundance-of-wild-edibles-in-the-bay-areas-food-deserts/
80. Can urban foraging actually feed poor people? Nathanael Johnson, Grist, 30 January 2015. (Urban foraging, nutrition, food equity, food security, sustainability) http://grist.org/food/can-urban-foraging-actually-feed-poor-people/
79. Foragers’ Delight: Can Wild Foods Make City Dwellers Healthier? Madeleine Key, Civil Eats, 5 December 2014. (Urban foraging, nutrition, food equity, food security, sustainability) http://civileats.com/2014/12/05/foragers-delight-can-wild-foods-make-city-dwellers-healthier/
78. What’s for Dinner? For These Urban Foragers in Berkeley, The Answer is Weeds, Eric Neumann, California Magazine, Winter 2014. (Urban foraging, nutrition, food equity, food security, sustainability) http://alumni.berkeley.edu/california-magazine/winter-2014-gender-assumptions/whats-dinner-these-urban-foragers-berkeley-answer
77. 12 things you didn’t know about holiday foods, UC Newsroom, 24 November 2014. (Urban foraging, nutrition, food equity, food security, sustainability) http://universityofcalifornia.edu/news/12-things-you-didnt-know-about-holiday-foods
76. Weed Eaters: These guys want you to eat weeds—and they’ll show you where to find ’em, Alisa Opar, NRDC onEarth, 24 November 2014. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.onearth.org/earthwire/weed-eaters
75. Foragers find bounty of edibles in urban food deserts, Gretchen Kell, UC Berkeley Media Relations, 17 November 2014. (Urban foraging, nutrition, food equity, food security, sustainability) http://newscenter.berkeley.edu/2014/11/17/urban-foraging/
74. How Many Ballots Do You Have To Count To Know Whether An Election Was Rigged? Short answer: Surprisingly few. Rafi Letzter, Popular Science, 4 November 2014. (Election integrity, auditing) http://www.popsci.com/article/science/how-many-ballots-do-you-have-count-know-whether-election-was-rigged
73. A New Voting Machine Could Make Sure Every Vote Really Counts. That is, if it ever gets used. Rafi Letzter, Popular Science, 4 November 2014. (Election integrity, auditing) http://www.popsci.com/article/technology/new-voting-machine-could-make-sure-every-vote-really-counts
72. Can we trust the Internet with our most basic civic duty? DecodeDC ponders the future of voting, Miranda Green and Andrea Seabrook, NewsNet5 ABC, 31 October 2014. (Election integrity) http://www.newsnet5.com/decodedc/podcast/can-we-trust-the-internet-with-our-most-basic-civic-duty
71. Cal professors on the hunt for edible, nutritious East Bay weeds, Carolyn Jones, The San Francisco Chronicle and SFGate, 25 October 2014. (Urban foraging, nutrition, food equity, food security, sustainability) http://www.sfgate.com/bayarea/article/Cal-professors-on-the-hunt-for-edible-nutritious-5846111.php, http://www.sfchronicle.com/bayarea/article/Cal-professors-on-the-hunt-for-edible-nutritious-5846111.php
70. Course evaluations ineffective, misused, report finds, Mina Corpuz, The Daily Free Press, 3 October 2014. (Evaluating teaching, misuse of Statistics) http://dailyfreepress.com/2014/10/03/course-evaluations-ineffective-misused-study-finds/
69. Course evaluations slammed as ineffective: A Berkeley professor said the evaluations aren’t a good gauge of a class, Noelle Wells, The Daily Tar Heel, 2 October 2014. (Evaluating teaching, misuse of Statistics) http://www.dailytarheel.com/article/2014/10/coures-evaluations-slammed\%20as\%20ineffective
68. Professor gives low rating to effectiveness of current teaching evaluations, Siera Stalcup, The Daily Cal, 30 September 2014. (Evaluating teaching, misuse of Statistics) http://www.dailycal.org/2014/09/29/effectiveness-student-course-evaluations/
67. Student Course Evaluations Get An ‘F,’ Anya Kamenetz, NPR Education Blog, 26 September 2014. (Evaluating teaching, misuse of Statistics) http://www.npr.org/blogs/ed/2014/09/26/345515451/student-course-evaluations-get-an-f
66. 2 scholars flunk course evaluations as measures of teaching quality, Dan Berrett, Chronicle of Higher Education, p. A16, 26 September 2014 http://chronicle.texterity.com/chronicle/20140926a?sub_id=2FQNKVDXMnsU\#pg16

Scholars Take Aim at Student Evaluations’ ‘Air of Objectivity’, Dan Berrett, Chronicle of Higher Education, 18 September 2014. (Evaluating teaching, misuse of Statistics) http://chronicle.com/article/Scholars-Take-Aim-at-Student/148859/
65. Making sure the votes count: Arapahoe County is pilot site, Ernest Luning, The Colorado Statesman, 15 August 2014. Also Colorado Springs Independent, 15 August 2014. (Statistical audits, election integrity) http://www.coloradostatesman.com/content/995064-making-sure-votes-count
64. Arapahoe County pioneering use of new vote verification system, John Aguilar, The Denver Post, 15 August 2014. (Statistical audits, election integrity) http://www.denverpost.com/news/ci_26339735/arapahoe-county-pioneering-use-new-vote-verification-system
63. Arapahoe Co. begins testing new ballot-counting system, Megan Verlee, Colorado Public Radio, 13 August 2014 (air date). (Statistical audits, election integrity) http://www.cpr.org/news/story/arapahoe-co-begins-testing-new-ballot-counting-system
62. Don’t blame John Pérez for the state’s abhorrent recount rules, Daniel Borenstein, Contra Costa Times, 25 July 2014. (Statistical audits, recounts, election integrity) http://www.contracostatimes.com/daniel-borenstein/ci_26211948/daniel-borenstein-dont-blame-john-perez-states-abhorrent
61. California law sought to prevent recount fights, Jim Miller, The Sacramento Bee, 1 July 2014. (Risk-limiting audits, recounts, election integrity)
http://blogs.sacbee.com/capitolalertlatest/2014/07/a-california-law-on-the.html
60. Lock the Vote, Julie Rehmeyer, Discover Magazine, July/August 2014. (STAR-Vote election system, election integrity) 59. Reproducible and Collaborative Statistical Data Science, Sarah Hillenbrand, Berkeley Science Review, 11 June 2014. (Reproducibility, education)
http://berkeleysciencereview.com/reproducible-collaborative-data-science/
58. Lottery odds: To win, you’d have to be a loser. Lawrence Mower, Palm Beach Post, 28 March 2014. (Lottery fraud)
http://www.mypalmbeachpost.com/news/news/lottery-odds-to-win-youd-have-to-be-a-loser/nfL57
57. How Might Economics Education Be Improved? Michael O’Hare, Ten Miles Square, Washington Monthly, 21 October 2013. (Evaluating teaching)
http://www.washingtonmonthly.com/ten-miles-square/2013/10/how_might_economics_education047441.php
56. From geeky to cool: Statistics is Berkeley’s fastest-growing major. Carol Ness, Berkeley NewsCenter, 16 April 2013. (growth in Statistics)
http://newscenter.berkeley.edu/2013/04/16/from-geeky-to-cool-statistics-is-berkeleys-fastest-growing-major
55. The Upbeat Stats on Statistics. Carl Bialik, Wall Street Journal, 1 March 2013. (growth in Statistics)
http://blogs.wsj.com/numbersguy/the-upbeat-stats-on-statistics-1216
54. As Ohio Faces Vote-Rigging Lawsuit, Are Dems, Liberals, Election Officials Ready to Safeguard Votes? Art Levine, The Huffington Post, 2 November 2012. (election integrity)
http://www.huffingtonpost.com/art-levine/mia-in-voting-machine-war_b_2054411.html?utm_hp_ref=voting-rights
53. Will the Next Election be Hacked? Michael Agresta, The Wall Street Journal, 17 August 2012. (election integrity)
http://online.wsj.com/article/SB10000872396390444508504577595280674870186.html
52. Saving throw: securing democracy with stats, spreadsheets, and 10-sided dice: “Risk-limiting audits” use sound math to make sure the right candidate won. Cyrus Farivar, Ars Technica, 24 July 2012. (Election auditing)
http://arstechnica.com/tech-policy/2012/07/saving-american-elections-with-10-sided-dice-one-stats-profs-quest/
51. New audit method could improve detection of flaws—and fix them. Adam Playford and Pat Beall, Palm Beach Post, 8 May 2012. (Election auditing)
http://www.palmbeachpost.com/news/new-post-election-audit-method-could-improve-detection-2346480.html
50. Florida law hinders vote audits. Adam Playford and Pat Beall, Palm Beach Post, 8 May 2012. (election integrity)
http://www.palmbeachpost.com/news/florida-law-hinders-vote-audits-2346483.html
49. Imagining a Census Survey Without a Mandate. Carl Bialik, The Wall Street Journal, 30 March 2012. (census)
http://blogs.wsj.com/numbersguy/imagining-a-census-survey-without-a-mandate-1129/
48. Are large earthquakes increasing in frequency? Deanna Conners, EarthSky, 4 March 2012. (Earthquake clustering)
http://earthsky.org/earth/are-large-earthquakes-increasing-in-frequency
47. New Equation for Voting Technology: Auditing > Testing? Doug Chapin, University of Minnesota Program for excellence in Election Administration, 12 January 2012.
http://blog.lib.umn.edu/cspg/peea/2012/01/new_equation_for_voting_techno.php
46. Cuyahoga County elections board leads pack in testing, auditing. Laura Johnston, The Plain Dealer, 1 January 2012. (risk-limiting audits, election integrity)
http://blog.cleveland.com/metro/2012/01/cuyahoga_county_elections_boar_5.html
45. Radio Australia “Connect Asia” program, 21 December 2011. (live appearance re earthquake clustering)
http://www.radioaustralia.net.au/connectasia/
44. Geologists wonder if the Northwest is up next for a giant earthquake. Joe Rojas-Burke, The Oregonian, 21 December 2011. Syndicated in Middle East North Africa Financial Network. (Earthquake clustering) http://www.oregonlive.com/environment/index.ssf/2011/12/geologists_wonder_if_the_north.html http://www.menafn.com/qn_news_story.asp?storyid=\%7B1ee57506-581b-4e99-a8be-41b9f35197e5\%7D
43. Mega-quake clusters unlikely: study. Anna Salleh, ABC, 20 December 2011. (Earthquake clustering) http://www.abc.net.au/science/articles/2011/12/20/3394245.htm
42. Rest Your Fears: Big Earthquakes Not on the Rise. Stephanie Pappas, LiveScience, 9 December 2011. Syndicated in MSNBC and Fox News 10 December 2011. (Earthquake clustering) http://www.livescience.com/17400-big-earthquakes-random.html http://www.msnbc.msn.com/id/45616503/ns/technology_and_science-science/\#.TueIXGB8-oc http://www.foxnews.com/scitech/2011/12/10/rest-your-fears-big-earthquakes-not-on-rise/
41. San Luis Obispo takes part in pilot program for ballot audits. Bethany Tucker, KSBY News, 12 September 2011. (Election auditing) http://www.ksby.com/news/san-luis-obispo-takes-part-in-pilot-program-for-ballot-audits/
40. In This Dating Game, the Best Match Could Be Years Away. Carl Bialik, The Wall Street Journal, 16 July 2011. (numerical coincidences) http://online.wsj.com/article/SB10001424052702304521304576447892115939486.html
39. Dozens of personal care products mislabeled as ‘organic,’ lawsuit says. Joanna Lin, California Watch, 20 June 2011. http://californiawatch.org/dailyreport/dozens-personal-care-products-mislabeled-organic-lawsuit-says-10873
38. San Jose siblings two years apart, born on the same day at the same time. Jane J. Lee, Silicon Valley Mercury News, 14 June 2011. (numerical coincidences) http://www.mercurynews.com/breaking-news/ci_18273248?nclick_check=1
37. O.C. could see fewer election recounts. Martin Wisckol, Orange County Register, 6 May 2011. (Election auditing) http://totalbuzz.ocregister.com/2011/05/06/o-c-could-see-fewer-election-recounts/52659/
36. Consumer Reports Cops to Chrysler Data Gaps. Eric Mayne, WardsAuto.com, 2 March 2011. http://wardsauto.com/ar/consumer_reports_chrysler_110302/
35. Experts shouldn’t be needed to call outcome of election. Albany Times Sun Union, 1 January 2011. (Election auditing) http://www.timesunion.com/opinion/article/Experts-shouldn-t-be-needed-to-call-outcome-of-930928.php
34. Equation: Calculating Ballot Bungles is all about the P-Value. Julie Rehmeyer, Wired, November 2010, p.56. (Election auditing) http://www.wired.com/magazine/2010/11/st_equation_votes/
33. Fifty million to one: Mother defies odds to give birth on 10.10.10 after two others were born on 09.09.09 and 08.08.08. Daily Mail, 15 October 2010. (numerical coincidences) http://www.dailymail.co.uk/news/article-1320840/Fifty-million-Mother-defies-odds-birth-10-10-10-born-09-09-09-08-08-08.html?ito=feeds-newsxml
32. Mom’s babies born on 8-8-08, 9-9-09, 10-10-10. Elizabeth Weise, USA TODAY, 14 October 2010. (numerical coincidences) http://www.usatoday.com/yourlife/parenting-family/babies/2010-10-14-Birthday14_ST_N.htm
31. UC Berkeley Professor’s Auditing System Aims to Count Votes More Accurately. Claire Perlman, Daily Californian, 28 April 2010. (Election auditing) http://www.dailycal.org/article/109295/uc_berkeley_professor_s_auditing_system_aims_to_co
30. California Assembly committee endorses UC Berkeley statistician’s election auditing method. Robert Sanders, Media Relations, UCBerkeleyNews, 26 April 2010. (Election auditing) http://www.berkeley.edu/news/media/releases/2010/04/26_canvass.shtml
29. Ready or Not. Cosma Shalizi, American Scientist, March 2010. (Earthquake prediction) http://www.americanscientist.org/bookshelf/pub/ready-or-not
28. Judge upholds November election of Novato Sanitary District board. Brent Ainsworth, The Marin Independent Journal, 8 March 2010. (Contested election) http://www.marinij.com/marinnews/ci_14636416
27. Novato Sanitary election fight rolls on. Jim Welte, The Marin Independent Journal, 23 February 2010. (Contested election) http://www.marinij.com/marinnews/ci_14456925
26. Novato Sanitary board race tightens. Jim Welte, The Marin Independent Journal, 12 November 2009. (Contested election) http://www.marinij.com/election/ci_13773039
25. AIDS Vaccine Trial Shows Only Slight Protection. Donald G. McNeil Jr., New York Times, 21 October 2009. (epidemiology) http://www.nytimes.com/2009/10/21/health/research/21vaccine.html?_r=1
24. China To Require Filtering Software On PCs. Thomas Claburn, Information Week, 8 June 2009. (Internet content filtering) http://www.informationweek.com/news/internet/policy/showArticle.jhtml?articleID=217800108\&section=All+Stories
23. KQED-FM Forum program on the Census, 6 March 2009. (live appearance re census) 22. Census, partisan wrangling go hand-in-hand. Tyche Hendricks, Scripps News, 23 February 2009. (census) http://www.scrippsnews.com/node/41139
21. Why the census is always political. Tyche Hendricks, San Francisco Chronicle, 22 February 2009. (census) http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2009/02/22/MNPB161PBV.DTL
20. He’s Out for the Count. Mark Hosenball, NEWSWEEK, 14 February 2009, Magazine issue dated 23 February 2009. (census) http://www.newsweek.com/id/184802
19. Measure B court challenge heads to San Francisco. Karen de Sá, Mercury News, 1 December 2008. (election integrity) http://www.mercurynews.com/politics/ci_11113510
18. New Election Audit Targets Close Races. Laura Snider, Daily Camera, 26 November 2008. (risk-limiting audits, election integrity) http://www.dailycamera.com/news/2008/nov/26/new-election-audit-targets-close-races/
17. Counting Continues for Elections Department. Redwood Times, 19 November 2008. (risk-limiting audits, election integrity) http://www.redwoodtimes.com/local/ci_11023304
16. Checking It Twice. Julie J. Rehmeyer, Science News, 19 January 2008. (Election auditing) http://www.sciencenews.org/view/generic/id/9292/title/Math_Trek__Checking_It_Twice
15. Reelz Channel Dailies “Is it Real?” Reelz Channel, 15 June 2007. (gambling odds, probability)
14. Internet is 99 per cent porn free. Iain Thomson, vnunet.com, 15 November 2006. (Internet content filtering) http://www.vnunet.com/vnunet/news/2168636/internet-per-cent-porn-free
13. Internet Content Filters Fail to Block Sexually Explicit Material. Thomas Claburn, Information Week, 14 November 2006. (Internet content filtering) http://www.informationweek.com/news/showArticle.jhtml?articleID=194300677\&section=All+Stories
12. 1 percent of Web sites deemed pornographic. Maryclaire Dale, Associated Press, 14 November 2006. (Internet content filtering) http://www.msnbc.msn.com/id/15721799/
11. Only 1 percent of Web pages have porn? Declan McCullagh, News.com, 14 November 2006. (Internet content filtering) http://www.news.com/8301-10784_3-6135662-7.html
10. U.S., Google Set to Face Off in Court. Michael Liedtke, Associated Press, 14 March 2006. (Internet content filtering) http://www.sfgate.com/cgi-bin/article.cgi?file=/n/a/2006/03/13/financial/f133050S47.DTL\&type=printable
9. Google privacy issue enters court. Al Jazeera, 14 March 2006. (Internet content filtering) http://english.aljazeera.net/archive/2006/03/2008410131655473737.html
8. In Case About Google’s Secrets, Yours Are Safe. Adam Liptak, New York Times, 26 January 2006. (Internet content filtering) http://www.nytimes.com/2006/01/26/technology/26privacy.html?_r=1\&emc=eta1\&oref=slogin
7. Google Resists U.S. Subpoena of Search Data. Katie Hafner and Matt Richtel, New York Times, 20 January 2006. (Internet content filtering) http://www.nytimes.com/2006/01/20/technology/20google.html?pagewanted=1\&_r=1
6. Feds take porn fight to Google. Declan McCullagh and Elinor Mills, CNET News, 19 January 2006. (Internet content filtering) http://news.cnet.com/Feds-take-porn-fight-to-Google/2100-1030_3-6028701.html?tag=mncol;txt
5. AFC NewSource story on airline security [Airings: The Osgood File (CBS Radio Network), 29 July 2003, 18 February 2003; KRON-TV (San Francisco), 3 February 2003]. (statistical auditing, security) http://www.acfnewsource.org/science/random_security.html
4. The Fred Ebert Show program on probability and statistics. KIRO 710, Seattle, WA, 27 October 2003. (live appearance re the Monty Hall problem, Statistics, Probability)
3. ABC 7 News story on census adjustment, 30 November 1998. (recorded appearance re census)
2. KQED-FM Forum program on the 2000 Census, San Francisco, CA, 17 July 1998. (live appearance re census) http://www.kqed.org/radio/programs/forum/
1. How deep is an earthquake? Science News, 2 March 1985. (Deep earthquakes)

Teaching and Advising

Courses

Former Graduate Students and Postdocs

Graduate Committees

  1. Alameida, Jose, Mathematics. Ph.D. qualifying examination, 2008
  2. Bach, Andre, Physics. Ph.D. qualifying examination, 2011
  3. Bar-Yossef, Ziv, Computer Science. Ph.D. qualifying examination, 2001; dissertation committee, “The Complexity of Massive Data Set Computations,” 2002
  4. Bein, Ed, Biostatistics. MA examination, 2002
  5. Berny, Axel Dominique, EECS. Ph.D. qualifying examination, 2004; dissertation committee, “Analysis and Design of Wideband LC VCOs,” 2006
  6. Bloniarz, Adam, Statistics. Ph.D. qualifying examination, 2014
  7. Bodik, Peter, Computer Science. Ph.D. qualifying examination, 2007; dissertation committee, “Automating Datacenter Operations Using Machine Learning,” 2010
  8. Bowman, John Penfield, IEOR. Ph.D. qualifying examination, 2003
  9. Bunn, Emory Freeman, Physics. Ph.D. qualifying examination, 1994; dissertation committee, “Statistical Analysis of Cosmic Microwave Background Anisotropy,” 1995
  10. Burstein, Richard David II, Mathematics. Ph.D. qualifying examination, 2004; dissertation committee, “Hadamard Subfactors of Bisch-Haagerup Type,” 2008
  11. Buttrey, Samuel Edward, Statistics. Ph.D. qualifying examination, 1994; dissertation committee, “Nearest-Neighbor Classification with Categorical Variables,” 1996
  12. Calef, Brandoch Hugh, Applied Mathematics. Ph.D. qualifying examination, 1997; dissertation committee, “Optimal Sampling of the Discrete Fourier Transform,” 2002
  13. Charman, Andrew Emile, Physics. Ph.D. qualifying examination, 2003; dissertation committee, “Random Aspects of Beam Physics and Laser-Plasma Interactions,” 2006
  14. Chen, Raymond Lei, EECS. Ph.D. qualifying examination, 1993; dissertation committee, “A Qualitative Modeling Framework of Semiconductor Manufacturing Processes: Self-Learning Fuzzy Inference System and the Statistical Analysis of Categorical Data,” 1994
  15. Chien, George, EECS. Ph.D. qualifying examination, 1998
  16. Feldman, Arnold R., EECS. Ph.D. qualifying examination, 1995; dissertation committee, “High-Speed, Low-Power Sigma-Delta Modulators for RF Baseband Channel Applications,” 1997
  17. Fodor, Imola K., Statistics. Ph.D. qualifying examination, 1997; chair, dissertation committee, “Spectrum Estimation in Helioseismology,” 1999
  18. Fong, Keng Leong, EECS. Ph.D. qualifying examination, 1996; dissertation committee, “Design and Optimization Techniques for Monolithic RF Downconversion Mixers,” 1997
  19. Gagnon-Bartsch, Johann, Statistics. Ph.D. qualifying examination, 2009; co-chair, dissertation committee “Removing Unwanted Variation from Microarray Data with Negative Controls,” 2012
  20. Gawiser, Eric Joseph, Physics. Ph.D. qualifying examination, 1998
  21. Genovese, Christopher Ralph, Statistics. Ph.D. qualifying examination, 1992; chair, dissertation committee, “Statistical Problems in Helioseismology,” 1994
  22. Goldman, Megan, Biostatistics. Chair, Ph.D. qualifying examination, 2009
  23. Gung, Yuan-Cheng, Geophysics. Dissertation committee, “Q Tomography of the Earth Mantle,” 2003
  24. Hansen, Bendek, Statistics. Chair, MA thesis committee, “Minimax Expected Length Confidence Intervals,” 2000
  25. Hansen, Mark Henry, Statistics. Chair, Ph.D. qualifying examination, 1992
  26. Hengartner, Niklaus Walther, Statistics. Co-chair, dissertation committee, “Topics in Density Estimation,” 1993
  27. Higgins, Mike, Statistics. Ph.D. qualifying examination, 2009, 2010
  28. Huang, Hsiang-Ping, Mathematics. Ph.D. qualifying examination, 1996
  29. Huang, Jianhua, Statistics. Ph.D. qualifying examination, 1994; dissertation committee, “Topics in Extended Linear Modeling,” 1997
  30. Huang, Yuanlin, Civil Engineering. Ph.D. qualifying examination, 1993, 1994
  31. Jiang, Xuesong, EECS. Ph.D. qualifying examination, 2001
  32. Jones, David Morgan, Mathematics. Ph.D. qualifying examination, 1994; dissertation committee, “On Modular Galois Representations in Characteristic 3,” 1998
  33. Katsis, Dimitrios, EECS. Ph.D. qualifying examination, 2005
  34. Kiesling, Max Karl, Civil Engineering. Ph.D. qualifying examination, 1994
  35. Li, Bo, Statistics. Ph.D. qualifying examination, 2004
  36. Loscutoff, Peter, Physics. Ph.D. qualifying examination, 2011; dissertation committee, “Search for resonant WZ ℓνℓℓ production using 13fb?1 in √ --
  s = 8TeV pp collisions with the ATLAS detector,” 2013
  37. Luen, Bradley, Statistics. Ph.D. qualifying examination, 2006; Chair, dissertation committee, “Earthquake Prediction: Simple Methods for Complex Phenomena,” 2010
  38. Luo, Tian, Statistics. MA thesis chair, “Nonparametric estimation of business survival with an application to restaurant startups,” 2014
  39. Madar, Vered, Statistics and Operations Research, Tel Aviv University. MA thesis committee, “Non-equivariant confidence intervals,” 2002
  40. Megnin, Charles Henri, Geophysics. Ph.D. qualifying examination, 1996; dissertation committee, “The Shear Velocity Structure of the Mantle from the Inversion of Time-Domain Waveform Data,” 1999
  41. Mieler, Michael William, Civil Engineering. Ph.D. qualifying examination, 2011
  42. Millman, Kenneth Jarrod, Biostatistics. MA thesis committee, “permute—a Python package for permutation tests and confidence sets,” 2015
  43. Miratrix, Luke W., Statistics. Chair, Ph.D. qualifying examination, 2010
  44. Murmann, Boris, EECS. Ph.D. qualifying examination, 2002; dissertation committee, “Digital Calibration for Low-Power High-Performance A/D Conversion,” 2003
  45. Ou, Jeffrey Jiajiunn, EECS. Ph.D. qualifying examination, 1995
  46. Petkov, Vladimir Plamenov, EECS. Ph.D. qualifying examination, 2003
  47. Poobuapheun, Nuntachai, EECS. Ph.D. qualifying examination, 2005; dissertation committee. “LNA and Mixer Designs for Multi-Band Receiver Front-Ends,” 2009
  48. Puente, Suzette, Statistics. M.A. committee, 2013
  49. Pulliam, R. Jay, Geophysics. Ph.D. dissertation committee, “Imaging Earth’s Interior: Tomographic Inversion of Mantle P-Wave Velocity Structure,” 1991
  50. Qian, Kun, EECS. Ph.D. qualifying examination, 2009; dissertation committee, “Variability Modeling and Statistical Parameter Extraction for CMOS Devices,” 2015
  51. Regier, Jeffery, Statistics. Chair, M.A. committee, 2013
  52. Rein, Steven Richard, Statistics. Chair, Ph.D. qualifying examination, 1990
  53. Schafer, Chad Michael, Statistics. Ph.D. qualifying examination, 2001; chair, dissertation committee, “Constructing Confidence Regions of Optimal Expected Size: Theory and Application to Cosmic Microwave Inference,” 2004
  54. Son, Sang Won, EECS. Ph.D. qualifying examination, 2000; dissertation committee, “High Dynamic Range CMOS Mixer Design,” 2002
  55. Suzuki, Toru, Demography. Ph.D. qualifying examination, 1995; dissertation committee, “Projection of Households in Japan with a Dynamic Macro-Simulation Model,” 1999
  56. Tee, Luns, EECS. Ph.D. qualifying examination, 2001
  57. Tenorio, Luis-Francisco, Mathematics. Ph.D. dissertation committee, “Asymptotic Dynamics of Locally Oblique Solitary Wave Soltuions of the KP Equation,” 1992
  58. Thompson, Neil, Statistics. M.A. committee, 2012
  59. To, Albert Chi Fu, Statistics. M.A. committee, 2005
  60. Wagner, Tim Allen, CS. Ph.D. qualifying examination, 1995; dissertation committee, “Practical Algorithms for Incremental Software Development Environments,” 1997
  61. Wicks, Charles Wesley Jr., Geophysics. Ph.D. qualifying examination, 1990; dissertation committee, “An Investigation of Mantle Discontinuities Beneath the Southwest Pacific,” 1994
  62. Yates, Vincent, Statistics. Chair, M.A. committee, 2012
  63. Ying, Jun, Naval Architecture. D. Eng. qualifying examination, 1995; dissertation committee, “Development and Verification of Computer Simulation Models for Evaluation of Siting Strategies and Evacuation Procedures for Mobile Drilling Units in Hurricanes,” 1996
  64. Zhang, Xiaoyan, Statistics. Ph.D. qualifying examination, 1997
  65. Zagheni, Emilio, Demography. Ph.D. qualifying examination, 2008

First-year PhD advising

Undergraduate Research and Honors Thesis Advisees

Service

Professional Societies and Government Agencies

Foundations, Non-Profit Corporations, and Industry

Editorial Service

Referee Service

  1. American Association for the Advancement of Science
  2. American Mathematical Monthly
  3. Annales Geophysicae
  4. Annals of the Institute of Statistical Mathematics
  5. Annals of Statistics
  6. Arabian Journal for Science and Engineering
  7. Astrophysical Journal
  8. Bulletin of the Seismological Society of America
  9. Cambridge University Press
  10. Chapman-Hall
  11. Computational Statistics and Data Analysis
  12. Electronic Journal of Statistics
  13. Geophysical Journal International
  14. Geophysical Research Letters
  15. Geophysics
  16. Geophysical & Astrophysical Fluid Dynamics
  17. HarperCollins
  18. IEEE Journal on Acoustics, Speech and Signal Processing
  19. IEEE Journal on Information Theory
  20. Inverse Problems
  21. Inverse Problems and Imaging
  22. Journal of the American Statistical Association
  23. Journal of Computational Physics
  24. Journal of Economic Literature
  25. Journal of Geophysical Research
  26. Jurimetrics
  27. Nature
  28. Nature Climate Change
  29. Political Analysis
  30. Physics of the Earth and Planetary Interiors
  31. PLoS One
  32. Proceedings of the National Academy of Sciences
  33. Science
  34. SIAM Review
  35. Simon and Schuster
  36. Springer-Verlag
  37. Statistics, Politics, and Policy
  38. Statistical Science
  39. Tectonophysics

University Service

Contracts and Grants

  1. PI, NASA Grant NAG 5-883, “Constructing Core Fields Consistent with Geomagnetic Data and Geophysical Constraints,” 1987–1990.
  2. Project Director and PI, NSF Grant DMS-8810192, “Inference in Curved-Ray Tomography: Solid Earth Structure,” 1989–1992.
  3. PI, NSF Grant INT-9205103, “Long and Medium-Term Research: Inference in Seismological Investigations of Subducting Lithosphere,” 1992–1994.
  4. PI, NSF Grant DMS-930006P, “Estimating the Sun’s Internal Angular Velocity from Free-Oscillation Frequency Splittings,” 1993–1994.
  5. PI, NSF Presidential Young Investigator Award DMS-8957573, 1989–1995.
  6. Co-I, NASA Grant NAG5-2438, “The Analysis of Cobe DMR Sky Maps,” 1993–1994. PI: J. Silk
  7. PI, NASA Grant NAGW-2515, “New Methods for Inversion and Analysis of Solar Free-Oscillation Data,” 1991–1995.
  8. PI, NSF Grant DMS-9404276, “New Methods for Inference From COBE Data,” 1994–1997.
  9. PI, NSF Grant AST-9504410, “Function Estimation and Inference in Helioseismology,” 1995–1998.
  10. PI, LLNL/IGPP Grant 97-AP028, “Helioseismology with Solar Luminosity Constraints,” 1996–1997.
  11. Co-I, NASA Grant NAG5-3941, “Development of data analysis, compression and visualization tools for large data sets in astrophysics and cosmology,” 1997–1998. PI: J. Silk
  12. PI, NASA Grant NRA-96-09-OSS-034SOHO, “Modern Statistical Methods for Helioseismic Spectrum Estimation,” 1997–1998.
  13. PI, NASA Grant NAG 5-3919, “Data Sampling Rate Reduction for the Oersted Satellite,” 1997–1998.
  14. PI, UC Berkeley Classroom Technologies Grant, “Statistics Statim,” 1997–1998.
  15. Co-I, NSF Grant DMS-9872979,”KDI: Computational Challenges in Cosmology,” 1998–2000. PI: A. Jaffe.
  16. Co-I, NSF Grant IIS-98-17353, “Re-Inventing Scholarly Information Dissemination and Use,” 4/1/1999–3/31/2004. PI: R. Wilensky and D. Forsythe.
  17. PI, Hewlett Packard Company Grant 89293, “Applied Mobile Technology Solutions in Learning Environments,” 3/19/2003–8/31/2004. Status report:
    http://www.stat.berkeley.edu/~stark/Grants/hp89293.htm
  18. PI, Hewlett Packard Company Grant 14928, “Applied Mobile Technology Solutions in Learning Environments—2004 Extension Grant,” 4/1/2004–6/30/2005.
  19. PI, LLNL Grant B565605, “Uncertainty in Complex Simulations,” 4/3/2007–9/30/2007.
  20. PI, LLNL Grant B585264, “Uncertainty Quantification with Applications to Climate Modeling,” 11/3/2009–9/30/2010.
  21. PI, Genentech Inc. Grant 008485, “Measuring Glucose with NIR,” 2/24/2010–10/31/2010.
  22. Co-I, NSF Grant DUE-1060487, “S-STEM Berkeley Science Network Scholarship Program,” 3/1/2011–2/28/2015. PI: M. Richards.
  23. PI, State of Colorado U.S. Election Assistance Commission subaward UC01, 2010 Pre-Election Logic and Accuracy Testing and Post-Election Audit Initiative, 5/23/2011–4/23/2013.
  24. PI, State of California Election Assistance Commission subaward 10I10066, Post Election Risk-Limiting Audit Pilot Program, 9/13/2011–4/23/2013.
  25. PI, Bill and Melinda Gates Foundation Grant OPP1077697, “An Introductory Statistics MOOC With Field-Tested Online Assessments,” 12/20/2012–7/31/2013.
  26. Co-I, UC Berkeley MOOCLab Grant, “Forum Usage in Statistics MOOCs: Disentangling Correlation from Causation,” 10/2013–8/2014. PI: M. Hearst.
  27. Co-I, Berkeley Institute for Data Science, grant from the Gordon and Betty Moore Foundation and the Sloan Foundation. 12/2013–12/2018. PI: S. Perlmutter.
  28. PI, UC Berkeley Food Institute Grant, “Reaping without Sowing: Urban Foraging, Sustainability, Nutrition, and Social Welfare,” 2/2014–2/2015.
  29. Co-I, “NRT-DESE Data Science for the 21st Century (DS421),” NSF, 1450053 2015–2020. PI: D. Ackerley.
  30. PI, UC Berkeley Food Institute Grant, “Wild Food: Investigating and Reducing Barriers to the Consumption of Foraged Foods,” 5/2015–12/2015.
  31. PI, State Street Bank and Trust Company Grant, “Industry Partners Program: Consortium for Data Analytics in Risk (CDAR); and Berkeley Institute for Data Science (BIDS) at UC Berkeley,” 2/2015–6/2017.

Consulting and Expert Witness Experience

Recent Testimony (incomplete prior to 2003)

http://www.stat.berkeley.edu/ stark/bio.htm
Last modified May 21, 2015.