Original paper

Bayesian fractional posteriors

Volume: 47, Issue: 1
Published: Feb 1, 2019
We consider the fractional posterior distribution that is obtained by updating a prior distribution via Bayes theorem with a fractional likelihood function, a usual likelihood function raised to a fractional power. First, we analyze the contraction property of the fractional posterior in a general misspecified framework. Our contraction results only require a prior mass condition on certain Kullback–Leibler (KL) neighborhood of the true...
Paper Details
Bayesian fractional posteriors
Published Date
Feb 1, 2019
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