5 citations · 15 across the 10 of their papers we have counts for
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stat.ME2023★ 2 cited
Calibrated Generalized Bayesian Inference
David T. Frazier, Christopher Drovandi, Robert Kohn
We propose a simple approach that provides accurate uncertainty quantification for Bayesian inference in misspecified or approximate models, and for generalized (Gibbs) posteriors.…
stat.ME2023
Cutting Feedback in Misspecified Copula Models
Michael Stanley Smith, Weichang Yu, David J. Nott +1
In copula models the marginal distributions and copula function are specified separately. We treat these as two modules in a modular Bayesian inference framework, and propose condu…