Our research activities are organized into eight themes, each with a leader and several members from the faculty and graduate students. The research themes are:
Survival analysis and reliability
Semiparametric and nonparametric inference in survival analysis and reliability
Primary Theme: Karl Gregory, Tim Hanson, Edsel Peña , Lianming Wang, Jim Lynch (emeritus)
Secondary Theme: Xiaoyan Lin, Xianzheng Huang, Yen-yi Ho
Latent variable models
Measurement error models, group testing, robustness, clustering, inter-rater agreement, educational measurement, item response theory, longitudinal data analysis
Primary Theme: Brian Habing, Xianzheng Huang, Josh Tebbs
Secondary Theme: Don Edwards, Tim Hanson, David Hitchcock, Xiaoyan Lin, Dewei Wang, Lianming Wang
Semiparametric methods
Dimension reduction, case-control data analysis, finite mixture models
Primary Theme: John Grego
Secondary Theme: Tim Hanson, Yen-yi Ho, Dewei Wang, Jim Lynch
Bayesian statistics and Bayesian nonparametrics
Markov chain Monte Carlo, graphical models, hierarchical models, nonparametric priors, objective priors
Primary Theme: Tim Hanson, Xiaoyan Lin, Lianming Wang
Secondary Theme: Brian Habing, James Lynch, Josh Tebbs
Highly structured and high dimensional data
Functional data analysis, spatiotemporal modeling, image analysis, medical imaging, model selection, shrinkage
Primary Theme: Karl Gregory, Tim Hanson, David Hitchcock, Yen-yi Ho, Dewei Wang
Secondary Theme: Lianming Wang
Simultaneous inference
Large p small n testing, simultaneous confidence intervals, multiple testing, order-restricted inference
Primary Theme: Edsel Peña, Josh Tebbs
Secondary Theme: Paramita Chakraborty, Don Edwards, John Grego, Lianming Wang, Jim Lynch
Stochastic processes
Stochastic differential equations, applied stochastic processes
Primary Theme: Paramita Chakraborty
Secondary Theme: Edsel Peña, Jim Lynch
Statistical Education
Primary Theme: Angela Ferguson, Amanda Murphy, Maureen Petkewich, Mohammed Quasem, Gail Ward-Besser
Secondary Theme: Brian Habing