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Likelihood-free approximate Gibbs sampling

Likelihood-free approximate Gibbs sampling

11 June 2019
G. S. Rodrigues
David J. Nott
Scott A. Sisson
ArXivPDFHTML

Papers citing "Likelihood-free approximate Gibbs sampling"

6 / 6 papers shown
Title
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong
Xiliang Yang
Sanguo Zhang
Zhijian He
116
2
0
17 Jan 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
23
42
0
09 Feb 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
39
26
0
20 Dec 2021
Discrepancy-based Inference for Intractable Generative Models using
  Quasi-Monte Carlo
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo
Ziang Niu
J. Meier
F. Briol
24
12
0
22 Jun 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
104
185
0
12 Jan 2021
Marginally-calibrated deep distributional regression
Marginally-calibrated deep distributional regression
Nadja Klein
David J. Nott
M. Smith
UQCV
32
14
0
26 Aug 2019
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