Research

Our research activities are organized into seven Research Themes, each having a Theme Leader and members from the Faculty and Graduate Students. The Department holds a Colloquium Series and informal Research Seminars.

The Research Themes are:

Environmental and biomedical applications

For more details, including group members and selected publications, follow the links.

Survival analysis and reliability

[semi- and non-parametric inference in survival analysis and reliability, stochastic processes]

Theme leader: Edsel Pena

Theme members: Grego, Hanson, Lynch, Pena, L.Wang, Zhao

Latent variable and mixed effects models

[latent variable and measurement error models, group testing, robustness, generalized linear mixed models, non-linear mixed models, clustering, inter-rater agreement.]

Theme leader: Joshua Tebbs

Theme members: Edwards, Grego, Habing, Hanson, Hitchcock, Lin, Huang, Tebbs, L.Wang

Bayesian statistics and Bayesian nonparametrics

[Bayesian statistics, Markov chain Monte Carlo, graphical models, hierarchical models, non-parametric priors, reference priors]

Theme leader: Tim Hanson

Theme members: Dryden, Hanson, Hitchcock, Lin, Tebbs, H.Wang, L.Wang

Highly structured data

[shape analysis, functional data analysis, image analysis, manifold data, medical imaging]

Theme leader: Ian Dryden

Theme members: Dryden, Hitchcock, L.Wang

Simultaneous inference

[large p small n testing, multiple comparisons, multiple testing]

Theme leader: Don Edwards

Theme members: Edwards, Pena, Tebbs, L.Wang

Psychometrics and Educational Measurement

[item response theory]

Theme leader: Brian Habing

Theme members: Habing, Lin

Environmental and biomedical applications

[ecological applications, bioinformatics, spatial statistics, longitudinal data analysis, medicare fraud detection]

Theme leader: John Grego

Theme members: Dryden, Edwards, Grego, Hanson, Hitchcock, Huang, Pena, Tebbs, H.Wang, L.Wang, Zhao

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