Professor Terry Speed will be the Wald Lecturer for 2001. Congratulations Terry!
David Aldous: Markov chains, rare events, analysis of algorithms, probabilistic combinatorics, miscellaneous applied probability, statistical physics
Rudolph Beran: Superefficient estimation of high-dimensional parameters, statistics of directional data, statistical computing, random coefficient regression
Peter Bickel: Semi-parametric models, robustness of statistical procedures, asymptotics, applications to transportation modelling and biology of statistics
David Blackwell: (Professor in the Graduate School)
Albert Bowker: (Chancellor emeritus)
Leo Breiman: Machine learning, prediction in high-dimensioned spaces (Professor in Graduate School)
David Brillinger: Statistical methods for random processes and applications in engineering and science, Co-Chair Biostatistics Group
Ching-Shui Cheng: Experimental design, combinatorics, survey sampling
Kjell Doksum: Curve estimation, nonparametric regression and correlation curves, estimation of measures of association, survival analysis (joint appointment with Biostatistics)
Lester Dubins: Finitely additive probability, group invariant probabilities, gambling theory, inequalities for stochastic processes, martingales (joint appointment with Mathematics)
Steven Evans: Superprocesses and other measure-valued processes, probability on local fields and other algebraic structures, applications of stochastic processes to genetics and molecular biology
Jacob Feldman: (emeritus)
David Freedman: Asymptotic behavior of Bayes estimates, DeFinetti's theorem, the bootstrap, statistics and the law (joint appointment with Mathematics)
Leo Goodman: Development of statistical methods for the analysis of categorical data, log-linear models, latent structure models, correspondence analysis models (joint appointment with Sociology)
Nicholas Jewell: Statistical methods related to infectious diseases, includes AIDS and tuberculosis (joint appointment with Biostatistics)
Michael Jordan: Machine learning, applied statistics, artificial intelligence
Michael Klass: Sums of independent random variables, law of the iterated logarithm, approximation of tail probabilities, approximations of expectations of functions of sums (joint appointment with Biostatistics and Mathematics)
Erich Lehmann: (emeritus)
Pressley W. Millar: Martingales, Markov processes, Gaussian processes, excursion theory, asymptotic statistical decision theory, nonparametrics, robustness, stochastic procedures
Deborah Nolan: Empirical processes applications to statistics, high-dimensional modeling, the teaching of statistics, and the use of technology in education
Yuval Peres: Probability and trees, harmonic analysis, Hausdorff measure
James Pitman: Distribution theory for functionals of Brownian motion and related processes, path transformations of stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence and fragmentation
Roger Purves: Foundations of probability, measurability
John Rice: Applied statistics, particularly in astronomy, neurophysiology, and transportation
Juliet Shaffer: (emerita)
Terry Speed: Applied statistics, particularly in the fields of genetics and molecular biology (joint appointment with Biostatistics)
Philip Stark: Inverse problems, optimization, geophysics, helioseismology, microwave cosmology
Charles Stone: Statistical modeling with splines (joint appointment with Biostatistics)
Aram Thomasian: (emeritus)
Mark van der Laan: Cancer research in computational biology, optimal methods for censored data with applications in medical research, causal inference in longitudinal studies (joint appointment with Biostatistics)
Kenneth Wachter: Stochastic models for the evolution of mortality plateaus, Grade of Membership models, methods for Census adjustment, statistical problems in x-ray astronomy, applications of branching process theory (joint appointment with Demography)
Bin Yu: Minimun Description Length (MDL) Principle and Model Selection, information theory, Signal (image and audio) denoising and compression, data networks, and discriminant analysis based on curve data and its applications in remote sensing and health sciences