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  Graduate School-New Brunswick 2017 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 (848-445-7674)

Website: statistics.rutgers.edu/academics/graduate-program

Members of the Graduate Faculty

Pierre Bellec, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Ecole Nationale de la Statistique et de l'Administration Economique (Paris)
High-dimensional statistics; aggregation of estimators; shape constrained problems in statistics; probability theory

Steven Buyske, Research Associate Professor, Associate Director, Office of Statistical Consulting, SAS; Ph.D., Brown; Ph.D., Rutgers
Teaching and research in statistical genetics, biostatistics, psychometrics, and experimental design

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, Distinguished 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

Harry Crane, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Combinatorial stochastic processes and inference; inference for combinatorial structures; exchangeability and other probabilistic symmetries; random partitions, rankings, trees, networks, arrays; logical foundations of statistical modeling

Tirthankar DasGupta, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Georgia Institute of Technology
Experimental design; causal inference; sequential exploration of complex surfaces; nanoscience and nanotechnology; geometric shape error modeling and control

Lee Dicker, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Harvard
Teaching and research in analysis of high-dimensional data; design and analysis of genomic and proteomic studies

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 Institute of Technology
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

Robert Kopp, Associate Professor of Earth and Planetary Sciences, SAS; Ph.D., California Institute of Technology
Understanding uncertainty in past and future climate change, with major emphases on sea-level change and on the interactions between physical climate change and the economy

Ping Li, Associate Professor, Statistics and Biostatistics, SAS; Ph.D., Stanford
Teaching and research in massive data, statistical learning, and computing

Regina Y. Liu, Chair and Distinguished Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Data depth; text mining; nonparametric statistics; resampling; extreme statistics; statistical quality control; aviation safety and risk management

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

Harold B. Sackrowitz, Distinguished Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Inference and decision theory; acceptance sampling; order-restricted inference

Anand Sarwate, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Rutgers
Distributed optimization and signal processing, machine learning and statistics; information theory; privacy-preserving data analysis

William E. Strawderman, Distinguished 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

David E. Tyler, Distinguished Professor of Statistics and Biostatistics, SAS; Ph.D., Princeton
Multivariate analysis; robust statistics; directional data; psychometrics; computer vision; signal processing; time series; functional data analysis

Han Xiao, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Teaching and research in nonstationary and nonlinear time series; high-dimensional analysis; algebraic statistics; random matrix theory

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

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

Associate Members of the Graduate Faculty

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

Edwin J. Green, Professor of Forest Biometrics, SEBS; Ph.D., Virginia Polytechnic Institute and State University
Forest inventory; forest growth and yield; estimation of animal abundance; Bayesian statistics

Eun-Young Mun, Associate Professor of Clinical Psychology, GSAPP; Ph.D, Michigan State
Meta-analysis of brief motivational interventions to reduce alcohol use and problems among college students; comparative effectiveness research on brief alcohol interventions for young adults

 
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