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Bayesian Model Selection Based on Proper...
Dawid, A. Philip...
Bayesian Model Selection Based on Proper Scoring Rules by Dawid, A. Philip ( Author )
N.A
18-09-2014
Bayesian model selection with improper priors is not well-defined because of the dependence of the marginal likelihood on the arbitrary scaling constants of the within-model prior densities. We show how this problem can be evaded by replacing marginal log-likelihood by a homogeneous proper scoring rule, which is insensitive to the scaling constants. Suitably applied, this will typically enable consistent selection of the true model.
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Article
pdf
36.88 KB
English
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MYR 0.01
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https://arxiv.org/abs/1409.5291
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