Model selection is an important part of any statistical analysis, and indeed is central to the pursuit of science in general. Many authors have examined this question, from both frequentist and Bayesian perspectives, and many tools for selecting the ``best model'' have been suggested in the literature. This paper considers the various proposals from a Bayesian decision-theoretic perspective.
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Kadane et al. (2004) studied this question.
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