Model Uncertainty and Missing Data: An Objective Bayesian Perspective (with Discussion)
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2025-12-01
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Clyde, Merlise (2025). Model Uncertainty and Missing Data: An Objective Bayesian Perspective (with Discussion). Bayesian Analysis, 20(4). 10.1214/25-ba1531 Retrieved from https://hdl.handle.net/10161/33747.
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Merlise Clyde
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.
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