Selection of KL neighbourhood in robust Bayesian inference

Research output: Contribution to journalComment/debatepeer-review

Abstract / Description of output

The authors propose an attractive and coherent approach to robust inference in
Bayesian statistics where potential joint misspecification in the likelihood and
in the priors is reflected in misspecification of the posterior distribution and
studied in its consequences in the decision problem of interest. I have a couple
of comments, a short one (the first section) and a long one (the rest of the
discussion).
Original languageEnglish
Pages (from-to)499-502
Number of pages5
JournalStatistical Science
Volume31
Issue number4
DOIs
Publication statusPublished - 30 Nov 2016

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