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, Edsel Peña , Lianming Wang, James 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, Joshua Tebbs, Dewei Wang

Secondary Theme: Don Edwards, David Hitchcock, Xiaoyan Lin, Lianming Wang

 

Semiparametric methods

Dimension reduction, case-control data analysis, finite mixture models

Primary Theme: John Grego

Secondary Theme: Yen-yi Ho, James Lynch  (emeritus)

 

Bayesian statistics and Bayesian nonparametrics

Markov chain Monte Carlo, graphical models, hierarchical models, nonparametric priors, objective priors

Primary Theme: Xiaoyan Lin, Lianming Wang

Secondary Theme: Brian Habing, Joshua Tebbs, James Lynch (emeritus)

 

Highly structured and high dimensional data

Functional data analysis, spatiotemporal modeling, image analysis, medical imaging, model selection, shrinkage

Primary Theme: Dewei Wang, Karl Gregory, David Hitchcock, Yen-yi Ho

Secondary Theme: Lianming Wang

 

Simultaneous inference

Large p small n testing, simultaneous confidence intervals, multiple testing, order-restricted inference

Primary Theme: Edsel Peña, Joshua Tebbs, Dewei Wang

Secondary Theme: John Grego, Lianming Wang, James Lynch (emeritus), Don Edwards (emeritus)

 

Stochastic processes

Stochastic differential equations, applied stochastic processes

Primary Theme: Edsel Peña

Secondary Theme: James Lynch  (emeritus)

 

Statistical Education

Primary Theme: Angela Ferguson, Amanda Murphy, Mohammed Quasem, Gail Ward-Besser

Secondary Theme: Brian Habing