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Synthetic Likelihood in Misspecified Models: Consequences and
  Corrections

Synthetic Likelihood in Misspecified Models: Consequences and Corrections

8 April 2021
David T. Frazier
Christopher C. Drovandi
David J. Nott
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Papers citing "Synthetic Likelihood in Misspecified Models: Consequences and Corrections"

5 / 5 papers shown
Title
Misspecification-robust Sequential Neural Likelihood for
  Simulation-based Inference
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
Ryan P. Kelly
David J. Nott
David T. Frazier
D. Warne
Christopher C. Drovandi
25
10
0
31 Jan 2023
Better Together: pooling information in likelihood-free inference
Better Together: pooling information in likelihood-free inference
David T. Frazier
Christopher C. Drovandi
David J. Nott
22
1
0
05 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
25
34
0
05 Sep 2022
Population Calibration using Likelihood-Free Bayesian Inference
Population Calibration using Likelihood-Free Bayesian Inference
Christopher C. Drovandi
Brodie A. J. Lawson
A. Jenner
A. Browning
17
2
0
04 Feb 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
41
26
0
20 Dec 2021
1