James P. Long

I am a fourth year PhD student in the Berkeley Department of Statistics. For the last two and a half years I have been researching classification in the context of heterogeneous feature noise, focusing on applications in astonomy. My advisors are Professors Noureddine El Karoui and John Rice. I am a member of the Center for Time Domain Informatics. Earlier, I was a mathematics and statistics major at Columbia University.
Papers and Proceedings
  • J.W. Richards, D.L. Starr, H. Brink, A.A. Miller, J.S. Bloom, N.R. Butler, J.B. James, J.P. Long, and J. Rice. Active learning to overcome sample selection bias: Application to photometric variable star classification. Accepted to The Astrophysical Journal, 2011.
  • J.P. Long , J.S. Bloom, N. El Karoui, J. Rice, and J.W. Richards. Classification of poorly time sampled light curves of periodic variable stars. To appear in Proceeding from GREAT Workshop on Astrostatistics, La Palma, Spain, 2011.
  • P. Kinirons, D. Rabinowitz, M. Gravel, J.P. Long, M. Winawer, G. Senechal, R. Ottman, and P. Cossette. Phenotypic concordance in 70 families with ige-implications for genetic studies of epilepsy. Epilepsy Research, 2008.
    Code
  • light curve noisification: noisification matches feature distributions in training and unlabeled data in an attempt to improve classifier performance across astronomical surveys
    Contact Information

    Email: my first initial followed by my last name at stat.berkeley.edu
    Address: Department of Statistics
    367 Evans Hall # 3860
    University of California
    Berkeley, CA 94720-3860



    Last updated: November 26, 2011