Synthetic Likelihood in Misspecified Models: Consequences and Corrections

8 April 2021

Papers citing "Synthetic Likelihood in Misspecified Models: Consequences and Corrections"

5 / 5 papers shown

Title
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 118 35 0 25 May 2023
Better Together: pooling information in likelihood-free inference David T. Frazier Christopher C. Drovandi David J. Nott 65 1 0 05 Dec 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 78 36 0 05 Sep 2022
Population Calibration using Likelihood-Free Bayesian Inference Christopher C. Drovandi Brodie A. J. Lawson A. Jenner A. Browning 51 2 0 04 Feb 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021