Professor of Statistical Science
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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.
(98-0024) Model Uncertainty, Model Selection, and Robustness with Application in Environmental Science awarded by National Science Foundation (Principal Investigator). 1998 to 2004
Model Uncertainty in Health Effect Studies of Particulate Matter awarded by Environmental Protection Agency (Principal Investigator). 1999 to 2001
(96-0326) Model Uncertainty In Prediction, Variable Selection and Related Decision Problems awarded by National Science Foundation (Principal Investigator). 1996 to 2000