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Model Misspecification in ABC: Consequences and Diagnostics

Model Misspecification in ABC: Consequences and Diagnostics

7 August 2017
David T. Frazier
Christian P. Robert
Judith Rousseau
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Papers citing "Model Misspecification in ABC: Consequences and Diagnostics"

5 / 5 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
77
9
0
17 Feb 2025
Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta
Jeremias Knoblauch
Theodoros Damoulas
F. Briol
20
42
0
09 Feb 2022
Likelihood-free approximate Gibbs sampling
Likelihood-free approximate Gibbs sampling
G. S. Rodrigues
David J. Nott
S. Sisson
21
24
0
11 Jun 2019
Bayesian inference using synthetic likelihood: asymptotics and
  adjustments
Bayesian inference using synthetic likelihood: asymptotics and adjustments
David T. Frazier
David J. Nott
Christopher C. Drovandi
Robert Kohn
23
40
0
13 Feb 2019
Convergence of Regression Adjusted Approximate Bayesian Computation
Convergence of Regression Adjusted Approximate Bayesian Computation
Wentao Li
Paul Fearnhead
106
36
0
22 Sep 2016
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