Faculty Research - Probability and Statistics
Emad El-Neweihi (Emeritus), Ph.D. Florida State University, 1973. Applied probability models; reliability theory; stochastic ordering; optimal replacement and repair models.
Nasrollah Etemadi (Emeritus), Ph.D. University of Minnesota, 1974. Probability theory; stochastic processes; statistics.
Samad Hedayat, Ph.D. Cornell University, 1969. Developing statistical theory and methodology for: design and analyses of experiments, medical and pharmaceutical studies, environmental studies, forensic investigations, data safety and monitoring activities, and survey sampling.
Dibyen Majumdar, Ph.D. Indian Statistical Institute, 1981. Design of experiments; linear models; nonlinear mixed models; repeated measurements.
Klaus Miescke (Emeritus), Ph.D. University of Heidelberg, 1972. Mathematical statistics; decision theory; selection procedures.
Cheng Ouyang, Ph.D. Northwestern University, 2009. Probability theory and Stochastic analysis: diffusions and differential geometry, rough paths theory, Malliavin calculus and Gaussian processes, Levy processes.
T.E.S. Raghavan (Emeritus), Ph.D. Indian Statistical Institute, 1966. Game theory; linear, non-linear programming; matrix theory; applied statistics; operations research.
Jing Wang, Ph.D. Michigan State University, 2006. Non- and Semi-parametric smoothing Methods, polynomial spline and kernel smoothing, generalized linear/additive models.
Yichao Wu, Ph.D. University of North Carolina at Chapel Hill, 2006. Machine Learning, High Dimensional Data Analysis, Functional Data Analysis.
Min Yang, Ph.D. University of Illinois at Chicago, 2002. Design and analysis of experiment, linear and nonlinear models, medical and pharmaceutical studies.
Jie Yang, Ph.D. University of Chicago, 2006. Discriminant Analysis, Multiple comparisons, Cluster Analysis, Dimension Reduction, Design of Experiments, Bioinformatics, and Financial Mathematics.
Ping-Shou Zhong, Ph.D. Iowa State University, 2011. High dimensional statistical inference. Statistical analysis for longitudinal and functional data. Empirical likelihood method. Nonparametric smoothing methods.