Probably approximate Bayesian computation: nonasymptotic convergence of
ABC under misspecification

v1v2 (latest)

Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification

19 July 2017

ArXiv (abs)PDF HTML

Papers citing "Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification"

6 / 6 papers shown

Title
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 242 9 0 17 Feb 2025
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 109 6 0 15 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
Generalized Posteriors in Approximate Bayesian Computation Sebastian M. Schmon Patrick W Cannon Jeremias Knoblauch 111 25 0 17 Nov 2020
Diagnosing model misspecification and performing generalized Bayes' updates via probabilistic classifiers Owen Thomas J. Corander 50 12 0 12 Dec 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 186 75 0 29 Sep 2019