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.
Kyunghee Han, Ph.D. Seoul National University, 2017. Non- and semiparametric estimation, additive models, errors-in-variables problem, functional data analysis, two-phase analysis.
Samad Hedayat (Emeritus), 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.
Vishesh Jain, Ph.D. Massachusetts Institute of Technology, 2020. High dimensional probability, randomized algorithms, probabilistic combinatorics.
Dibyen Majumdar, Ph.D. Indian Statistical Institute, 1981. Design of experiments; linear models; nonlinear mixed models; repeated measurements.
Marcus Michelen, Ph.D. University of Pennsylvania, 2019. Probability and Combinatorics.
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.
Jennifer Pajda-De La O, Ph.D. University of Illinois at Chicago, 2016. Probability, Survey Sampling.
T.E.S. Raghavan (Emeritus), Ph.D. Indian Statistical Institute, 1966. Game theory; linear, non-linear programming; matrix theory; applied statistics; operations research.
Liet Vo, Ph.D. University of Tennesse, 2022. Numerical analysis and scientific computing, neural network and machine learning. Stochastic PDEs.
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, medical and pharmaceutical studies, subdata selection.
Jie Yang, Ph.D. University of Chicago, 2006. Big Data Analysis, Experimental Design, Bioinformatics, Biostatistics, Dimension Reduction, 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. Missing data problems.