Abstract
The Fractional Bayes Factor and various forms of Intrinsic Bayes Factor are related methods which have been proposed for Bayesian model comparison when prior information about model parameters is weak. This paper identifies and contrasts various properties of these methods, with particular reference to coherence and practicality.
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