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
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.