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).
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 language | English |
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Pages (from-to) | 499-502 |
Number of pages | 5 |
Journal | Statistical Science |
Volume | 31 |
Issue number | 4 |
DOIs |
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Publication status | Published - 30 Nov 2016 |