most citedDiagnosing model misspecification and performing generalized Bayes' updates via probabilistic classifiers

8 citations · 8 across the 2 of their papers we have counts for

collaborators

3 papers

stat.ME2020

Generalised Bayes Updates with -divergences through Probabilistic Classifiers

Owen Thomas, Henri Pesonen, Jukka Corander

A stream of algorithmic advances has steadily increased the popularity of the Bayesian approach as an inference paradigm, both from the theoretical and applied perspective. Even wi…

stat.ME2020

Probabilistic elicitation of expert knowledge through assessment of computer simulations

Owen Thomas, Henri Pesonen, Jukka Corander

We present a new method for probabilistic elicitation of expert knowledge using binary responses of human experts assessing simulated data from a statistical model, where the param…

stat.ME2019★ 8 cited

Diagnosing model misspecification and performing generalized Bayes' updates via probabilistic classifiers

Owen Thomas, Jukka Corander

Model misspecification is a long-standing enigma of the Bayesian inference framework as posteriors tend to get overly concentrated on ill-informed parameter values towards the larg…