Testing Significance in Bayesian Classifiers.

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Abstract
The Fully Bayesian Significance Test (FBST) is a coherent Bayesian significance test for sharp hypotheses. This paper explores the FBST as a model selection tool for general mixture models, and gives some computational experiments for Multinomial-Dirichlet-Normal-Wishart models.
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STETSI-16
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Archival date: 2021-07-24
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2021-07-24

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