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  Graduate School-New Brunswick 2008-2010 Programs, Faculty, and Courses Statistics and Biostatistics 960  

Statistics and Biostatistics 960

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

 
For additional information, contact RU-info at 732/932-info (4636) or colonel.henry@rutgers.edu.
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