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Probably approximate Bayesian computation: nonasymptotic convergence of
  ABC under misspecification

Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification

19 July 2017
James Ridgway
ArXivPDFHTML

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
Misspecification-robust likelihood-free inference in high dimensions
Owen Thomas
Raquel Sá-Leao
H. Lencastre
Samuel Kaski
J. Corander
Henri Pesonen
85
9
0
17 Feb 2025
Calibrating AI Models for Wireless Communications via Conformal
  Prediction
Calibrating AI Models for Wireless Communications via Conformal Prediction
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
37
6
0
15 Dec 2022
Investigating the Impact of Model Misspecification in Neural
  Simulation-based Inference
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
Patrick W Cannon
Daniel Ward
Sebastian M. Schmon
35
36
0
05 Sep 2022
Generalized Posteriors in Approximate Bayesian Computation
Generalized Posteriors in Approximate Bayesian Computation
Sebastian M. Schmon
Patrick W Cannon
Jeremias Knoblauch
29
24
0
17 Nov 2020
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
58
72
0
29 Sep 2019
Learning without Concentration
Learning without Concentration
S. Mendelson
92
333
0
01 Jan 2014
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