Robust Inference and Model Criticism Using Bagged Posteriors

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Robust Inference and Model Criticism Using Bagged Posteriors

15 December 2019

Jonathan H. Huggins

Jeffrey W. Miller

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Papers citing "Robust Inference and Model Criticism Using Bagged Posteriors"

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Title
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 162 24 0 01 Sep 2022
Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics Jeffrey Negrea Jun Yang Haoyue Feng Daniel M. Roy Jonathan H. Huggins 57 1 0 25 Jul 2022
Synthetic Likelihood in Misspecified Models: Consequences and Corrections David T. Frazier Christopher C. Drovandi David J. Nott 73 10 0 08 Apr 2021
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification E. Pompe 117 9 0 26 Mar 2021
Bootstrapping Neural Processes Juho Lee Yoonho Lee Jungtaek Kim Eunho Yang Sung Ju Hwang Yee Whye Teh UQCV BDL 87 43 0 07 Aug 2020
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 134 68 0 23 Jul 2020
Finite mixture models do not reliably learn the number of components Diana Cai Trevor Campbell Tamara Broderick 64 23 0 08 Jul 2020
Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference D. Brinkerhoff A. Aschwanden M. Fahnestock 44 43 0 22 Jun 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 102 17 0 14 Apr 2020
When are Bayesian model probabilities overconfident? O. Oelrich S. Ding Måns Magnusson Aki Vehtari M. Villani 51 17 0 09 Mar 2020