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Improving the Accuracy of Marginal Approximations in Likelihood-Free
  Inference via Localisation

Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localisation

14 July 2022
Christopher C. Drovandi
David J. Nott
David T. Frazier
ArXivPDFHTML

Papers citing "Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localisation"

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
66
9
0
17 Feb 2025
Copula Approximate Bayesian Computation Using Distribution Random
  Forests
Copula Approximate Bayesian Computation Using Distribution Random Forests
G. Karabatsos
32
1
0
28 Feb 2024
Guided sequential ABC schemes for intractable Bayesian models
Guided sequential ABC schemes for intractable Bayesian models
Umberto Picchini
M. Tamborrino
42
8
0
24 Jun 2022
On predictive inference for intractable models via approximate Bayesian
  computation
On predictive inference for intractable models via approximate Bayesian computation
Marko Jarvenpaa
J. Corander
TPM
25
2
0
23 Mar 2022
Convergence of Regression Adjusted Approximate Bayesian Computation
Convergence of Regression Adjusted Approximate Bayesian Computation
Wentao Li
Paul Fearnhead
106
36
0
22 Sep 2016
1