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Activity Number: 207
Type: Roundtables
Date/Time: Monday, August 1, 2016 : 12:30 PM to 1:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #319077
Title: Bayesian Model Selection
Author(s): Philip Dawid*
Companies: University of Cambridge
Keywords: priors ; objective Bayes

The "compleat Bayesian" approach to model selection is totally straightforward-so long as we have well-specified proper prior distributions. Many folks worry about sensitivity to the choice of priors and would like a more objective approach. However, switching to improper priors is highly problematic. There have been numerous attempts to get around these problems. How well do they succeed?

Authors who are presenting talks have a * after their name.

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