Overview
Model uncertainty and choice in prediction and variable selection problems for linear, generalized linear models and multivariate models. Bayesian Model Averaging. Prior distributions for model selection and model averaging. Wavelets and adaptive kernel non-parametric function estimation. Spatial statistics. Experimental design for nonlinear models. Applications in proteomics, bioinformatics, astro-statistics, air pollution and health effects, and environmental sciences.
Office Hours
Fall 2023:
DGS Office Hours: Wed 1:30-2:30
STA 702: Mon 9:00am-10am and Thur 1:30-2:30 pm
or by appointment - send an outlook invite if there are no conflicts!
DGS Office Hours: Wed 1:30-2:30
STA 702: Mon 9:00am-10am and Thur 1:30-2:30 pm
or by appointment - send an outlook invite if there are no conflicts!
Current Appointments & Affiliations
Professor of Statistical Science
·
2011 - Present
Statistical Science,
Trinity College of Arts & Sciences
Chair of the Department of Statistical Science
·
2025 - Present
Statistical Science,
Trinity College of Arts & Sciences
Recent Publications
BAS: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling
Software · September 18, 2024 Featured Publication Full text Link to item CiteA tutorial on Bayesian multi-model linear regression with BAS and JASP.
Journal Article Behavior research methods · December 2021 Linear regression analyses commonly involve two consecutive stages of statistical inquiry. In the first stage, a single 'best' model is defined by a specific selection of relevant predictors; in the second stage, the regression coefficients of the winning ... Full text Open Access CiteMixtures of g-priors in Generalized Linear Models
Journal Article Journal of the American Statistical Association · December 1, 2018 Featured Publication Mixtures of Zellner's g-priors have been studied extensively in linear models and have been shown to have numerous desirable properties for Bayesian variable selection and model averaging. Several extensions of g-priors to Generalized Linear Models (GLMs) ... Full text Open Access Link to item CiteRecent Grants
Quantifying and Communicating Numerical Model Uncertainty
ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2019 - 2021Statistical and Applied Mathematical Science Institute
ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2017 - 2020Models for Consortium Level Analysis of GxE Interaction in Complex Disease
ResearchCo-Principal Investigator · Awarded by National Institutes of Health · 2012 - 2015View All Grants
Education, Training & Certifications
University of Minnesota, Twin Cities ·
1993
Ph.D.
University of California, Riverside ·
1988
M.S.
University of Alberta (Canada) ·
1986
M.S.
Oregon State University ·
1985
B.S.