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 (732-445-2690, ext. 1116)

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
Biostatistics; statistical genomics; clinical trials data analysis; Bayesian methods; statistical computing and graphics

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

Donald R. Hoover, Professor of Statistics and Biostatistics, SAS; Ph.D., Stanford
Longitudinal methods; observational studies; clinical trials; health care utilization

Ying Hung, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Georgia Tech
Computer experiments; design of experiments

John E. Kolassa, Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Asymptotics; biostatistics; applications of statistics in nursing and criminal justice

Regina Y. Liu, Chair and Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Nonparametric inferences; resampling; theory and applications of data depth; statistical quality control

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

William E. Strawderman, Professor of Statistics and Biostatistics, SAS; Ph.D., Rutgers
Decision theory; Bayesian analysis; multivariate statistics

Zhiqiang Tan, 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; functional data analysis

Minge Xie, Professor of Statistics and Biostatistics, SAS; Ph.D., Illinois
Statistical inference; latent models; longitudinal data analysis and estimating equations; robust statistics; ebiostatistics

Dan Yang, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Pennsylvania
High dimensional statistical inference; multivariate analysis; nonparametric statistics; observational data analysis; neuroimaging data analysis

Cunhui Zhang, Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Empirical Bayes; high-dimensional data; survival analysis and incomplete data; statistical inference; probability theory

Tong Zhang, Professor of Statistics and Biostatistics, SAS; Ph.D., Stanford
Numerical analysis and statistical computing; machine learning

Associate Members of the Graduate Faculty

Steven Buyske, Associate Research Professor of Statistics and Biostatistics, SAS; Ph.D., Rutgers
Statistical genetics; biostatistics; psychometrics; experimental design

Harry Crane, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Probability theory and stochastic processes; clustering and other applications in genetics, network analysis, and homeland security; combinatorics and discrete mathematics

Lee Dicker, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Harvard
High-dimensional data analysis; analysis of proteomic data; longitudinal and correlated data analysis

Derek Gordon, Associate Professor of Genetics, SAS; Ph.D., Stony Brook
Genetic linkage and association methods

Han Xiao, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Nonlinear and nonstationary time series; algebraic statistics; random matrix theory