Faculty:

Many of the courses of interest to students in the program are in probability, most often taught by members of the Center for Applied Probability. Faculty members whose primary interest is in statistics are:

• Dave Goldsman - Comparisons via stochastic simulation; Statistical ranking and selection (Professor, Ph. D., Cornell University)
• Serge Guillas - Functional data analysis; Nonparametric statistics; Time series; Environmental statistics; Spatial statistics (Assistant Professor, Ph. D., University Paris VI)
• Tony Hayter - Multiple comparison and selection procedures; Engineering statistics (Associate Professor, Ph.D., Cornell University)
• Russ Heikes - Statistical control procedures; Design of experiments; Statistical model building (Professor Emeritus, Ph.D., Texas Technological University)
• Christian Houdré - Nonparametric statistics; Statistical methods in finance and bioinformatics (Professor, Ph.D., McGill University)
• Xiaoming Huo - Multiscale statistical methods, Data mining (Assistant Professor, Ph.D., Stanford University)
• Vladimir Koltchinskii - Probability theory; Mathematical statistics (Professor, Ph.D., Kiev University)
• Paul Kvam - Reliability; Applied engineering statistics; Nonparametric estimation (Associate Professor, Ph.D., University of California at Davis)
• J. C. Lu - Statistics for manufacturing; Reliability; Degradation modeling (Professor, Ph.D., University of Wisconsin)
• Liang Peng - Limit theorems; Extreme value theory and its applications; Boundary estimation; Heavy tailed and long-range dependent time series; Smoothed distribution and quantile estimations; Edgeworth expansions; Empirical likelihood methods (Assistant Professor, Ph.D., Erasmus University)
• Alex Shapiro - Mathematical programming and statistics; Sensitivity analysis (Professor, Ph.D., Ben-Gurion University of Negev)
• Carl Spruill - Mathematical statistics and probability (Professor Emeritus, Ph.D., Purdue University)
• Yung Tong - Mathematical statistics; Multivariate statistical analysis; Reliability theory; Stochastic inequalities; Operations research and engineering statistics; Multiple decision problems; Statistical computing (Professor Emeritus, Ph.D., University of Minnesota)
• Brani Vidakovic - Multiscale methods; Statistical methods in geophysics; Turbulence; Bayesian decision theory (Professor, Ph.D. Purdue University)
• Jeff Wu - Design and analysis of experiments; Quality engineering; Product/process improvement; Bioinformatics (Ph.D. University of California - Berkeley)