Degree Programs Offered: Master of Science, Doctor of Philosophy
Director of Graduate Program: Professor John Kolassa, 504 Hill Center for the Mathematical Sciences, Busch Campus (732-445-2693)
Website: http://www.stat.rutgers.edu
Members of the Graduate Faculty
Robert H. Berk, Professor of Statistics and Biostatistics, SAS; Ph.D., Harvard
Sequential methods; nonparametric statistics; quality control and large-sample theory
Javier F. Cabrera, Professor of Statistics and Biostatistics, SAS; Ph.D., Princeton
Statistical computing and graphics; computer vision; directional data analysis
Rong Chen, Professor of Statistics and Biostatistics, SAS; Ph.D., Carnegie Mellon
Nonlinear and multivariate time series analysis; Monte Carlo methods,
statistical computing, and Bayesian analysis; statistical applications
in economics and business; statistical applications in bioinformatics
Arthur Cohen, Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Statistical inference; decision theory; multivariate analysis and linear models
Richard F. Gundy, Professor of Statistics and Biostatistics, SAS; Ph.D., Indiana; Ph.D., Chicago
Probability theory; harmonic analysis
Donald R. Hoover, Professor of Statistics and Biostatistics, SAS; Ph.D., Stanford
Longitutional methods; applied statistics and
multiple comparisons
Ying Hung, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Georgia Tech
Computer experiments
Rebecka Jornsten, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., California (Berkeley)
Applied statistics; image and signal processing; time series
Johannes H.B. Kemperman, Professor Emeritus of Mathematics, Statistics, and Biostatistics, SAS; Ph.D., Amsterdam (Netherlands)
Probability and statistics; mathematical analysis
John E. Kolassa, Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Asymptotics; biostatistics
Regina Y. Liu, Chair and Professor of Statistics and
Biostatistics, SAS; Ph.D., Columbia
Nonparametric inferences;
resampling; applications of data depth; statistical quality control
David Madigan, Professor of Statistics and Biostatistics, SAS; Ph.D., Trinity (Ireland)
Data mining; statistical computing
Joseph I. Naus, Professor of Statistics and Biostatistics, SAS;
Ph.D., Harvard
Applied probability; sampling theory; data quality
control; clustering and coincidence models; matching in DNA sequences
Douglas A. Penfield, Professor of Statistics and Biostatistics, GSE; Ph.D., California (Berkeley)
Educational statistics
Harold B. Sackrowitz, Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Inference and decision theory; acceptance
sampling; order-restricted inference
Lawrence Shepp, Professor of Statistics and Biostatistics, SAS; Ph.D., Princeton
Pure and applied probability tomography
Kesar Singh, Professor of Statistics and Biostatistics, SAS; 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 and Biostatistics, SAS; Ph.D., Rutgers
Decision theory; Bayesian analysis; multivariate statistics
Zhiqiang Tan, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Nonparametric and semiparametric statistics; applications in causal inference; survey sampling; Monte Carlo integration
Henry Teicher, Professor Emeritus of Statistics and Biostatistics, SAS; Ph.D., Columbia
Probability theory; statistical inference
David E. Tyler, Professor of Statistics and Biostatistics, SAS;
Ph.D., Princeton
Multivariate analysis; robust statistics; directional
data; psychometrics; computer vision and time series
Minge Xie, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Illinois
Longitudinal data analysis; robust statistics; experimental design; biostatistics
Cunhui Zhang, Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Empirical Bayes; survival analysis and incomplete data; statistical inference; probability theory
Tong Zhang, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Stanford
Numerical analysis; machine learning
Associate Members of the Graduate Faculty
Steven Buyske, Associate Research Professor of Statistics and Biostatistics, SAS; Ph.D., Rutgers
Biostatistics; psychometrics; experimental design; tomography
Derek Gordon, Associate Professor of Genetics, SAS; Ph.D., Stony Brook
Genetic linkage and association methods