Robert H. Berk, Professor of Statistics, FAS-NB; Ph.D., Harvard
Sequential methods; nonparametric statistics; quality control and large- sample theory
Javier F. Cabrera, Associate Professor of Statistics, FAS-NB; Ph.D., Princeton
Statistical computing and graphics; computer vision; directional data analysis
Arthur Cohen, Professor of Statistics, FAS-NB; Ph.D., Columbia
Statistical inference; decision theory; multivariate analysis; and linear models
Ramanathan Gnanadesikan, Professor Emeritus of Statistics, FAS-NB; Ph.D.,
North Carolina Graphical methods; multivariate analysis; robust procedures
Richard F. Gundy, Professor of Statistics, FAS-NB; Ph.D., Indiana; Ph.D., Chicago
Probability theory; harmonic analysis
Donald R. Hoover, Associate Professor of Statistics, FAS-NB; Ph.D., Stanford
Longitutional methods; applied statistics and multiple comparisons
Johannes H.B. Kemperman, Professor Emeritus of Mathematics and Statistics, FAS-NB; Ph.D., Amsterdam
Probability and statistics; mathematical analysis
John E. Kolassa, Associate Professor of Statistics, FAS-NB; Ph.D., Chicago
Asymptotics; biostatistics
Regina Y. Liu, Professor of
Statistics, FAS-NB; Ph.D., Columbia
Nonparametric inferences;
resampling; applications of data depth; statistical quality control
David Madigan, Professor of Statistics, FAS-NB; Ph.D., Trinity (Dublin)
Data mining; statistical computing
Joseph I. Naus, Professor of Statistics, FAS-NB; Ph.D., Harvard
Applied probability; sampling theory; data quality control; clustering and coincidence models; matching in DNA sequences
Douglas A. Penfield, Professor of Statistics, GSE; Ph.D., California (Berkeley)
Educational statistics
Harold B. Sackrowitz, Professor of
Statistics, FAS-NB; Ph.D., Columbia
Inference and decision theory;
acceptance sampling; order-restricted inference
Lawrence Shepp, Professor of Statistics, FAS-NB; Ph.D., Princeton
Pure and applied probability tomography
Kesar Singh, Professor of Statistics, FAS-NB; Ph.D., Indian Statistical Institute
Nonparametric statistics; asymptotics; large deviations; resampling
procedures: bootstrap and jackknife; notions of data depth; angular
data
William E. Strawderman, Professor of Statistics, FAS-NB;
Ph.D., Rutgers
Decision theory; Bayesian analysis; multivariate
statistics
Henry Teicher, Professor Emeritus of Statistics, FAS-NB; Ph.D., Columbia
Probability theory; statistical inference
J. Richard Trout, Professor Emeritus of Statistics and Computer Science, CC; Ph.D., Rutgers
Regression analysis; design and analysis of experiments
David
E. Tyler, Professor of Statistics, FAS-NB; Ph.D., Princeton
Multivariate analysis; robust statistics; directional data;
psychometrics; computer vision and time series
Yehuda Vardi, Chairperson and Professor of Statistics, FAS-NB; Ph.D., Cornell
Development of general statistical methodologies for real-life
problems; image tomography, image restoration and reconstruction and
statistics
Minge Xie, Associate Professor of Statistics, FAS-NB; Ph.D., Illinois
Longitudinal data analysis; robust statistics; experimental design; biostatistics
Cunhui Zhang, Professor of Statistics, FAS-NB; Ph.D., Columbia
Empirical Bayes; survival analysis and incomplete data; statistical inference; probability theory
Associate Members of the Graduate Faculty
Steven Buyske, Assistant Professor of Statistics, FAS-NB; Ph.D.,
Rutgers
Biostatistics, psychometrics, experimental design, tomography
Rebecka Jornsten, Assistant Professor of Statistics, FAS-NB; Ph.D., California (Berkeley)
Applied statistics; image and signal processing; time series
Juan K. Lin, Professor of Statistics, FAS-NB; Ph.D. Chicago
Multivariate analysis; probabilistic networks; clustering; machine learning
Jeffrey K. Smith, Professor of Educational Statistics and Measurement, GSE; Ph.D., Chicago
Educational statistics