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Efficient Bayesian synthetic likelihood with whitening transformations
v1v2 (latest)

Efficient Bayesian synthetic likelihood with whitening transformations

Journal of Computational And Graphical Statistics (JCGS), 2019
11 September 2019
Jacob W. Priddle
Scott A. Sisson
David T. Frazier
Christopher C. Drovandi
ArXiv (abs)PDFHTML

Papers citing "Efficient Bayesian synthetic likelihood with whitening transformations"

13 / 13 papers shown
A Comprehensive Guide to Simulation-based Inference in Computational
  Biology
A Comprehensive Guide to Simulation-based Inference in Computational Biology
Xiaoyu Wang
Ryan P. Kelly
A. Jenner
D. Warne
Christopher C. Drovandi
369
7
0
29 Sep 2024
Wasserstein Gaussianization and Efficient Variational Bayes for Robust
  Bayesian Synthetic Likelihood
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic LikelihoodJournal of Computational And Graphical Statistics (JCGS), 2023
Nhat-Minh Nguyen
Minh-Ngoc Tran
Christopher C. Drovandi
David J. Nott
244
1
0
24 May 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
263
1
0
05 Dec 2022
Improving the Accuracy of Marginal Approximations in Likelihood-Free
  Inference via Localisation
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via LocalisationJournal of Computational And Graphical Statistics (JCGS), 2022
Christopher C. Drovandi
David J. Nott
David T. Frazier
289
6
0
14 Jul 2022
Guided sequential ABC schemes for intractable Bayesian models
Guided sequential ABC schemes for intractable Bayesian modelsBayesian Analysis (Bayesian Anal.), 2022
Umberto Picchini
M. Tamborrino
584
14
0
24 Jun 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
197
2
0
04 Feb 2022
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian
  parameter inference for partially observed stochastic processes
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
D. Warne
Thomas P. Prescott
Ruth Baker
Matthew J. Simpson
286
21
0
26 Oct 2021
Synthetic Likelihood in Misspecified Models: Consequences and
  Corrections
Synthetic Likelihood in Misspecified Models: Consequences and CorrectionsJournal of the American Statistical Association (JASA), 2021
David T. Frazier
Christopher C. Drovandi
David J. Nott
250
13
0
08 Apr 2021
A Comparison of Likelihood-Free Methods With and Without Summary
  Statistics
A Comparison of Likelihood-Free Methods With and Without Summary StatisticsStatistics and computing (Stat Comput), 2021
Christopher C. Drovandi
David T. Frazier
385
40
0
03 Mar 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
519
249
0
12 Jan 2021
Transformations in Semi-Parametric Bayesian Synthetic Likelihood
Transformations in Semi-Parametric Bayesian Synthetic Likelihood
Jacob W. Priddle
Christopher C. Drovandi
230
2
0
03 Jul 2020
BSL: An R Package for Efficient Parameter Estimation for
  Simulation-Based Models via Bayesian Synthetic Likelihood
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic LikelihoodJournal of Statistical Software (JSS), 2019
Ziwen An
Leah F. South
Christopher C. Drovandi
252
15
0
25 Jul 2019
Bayesian inference using synthetic likelihood: asymptotics and
  adjustments
Bayesian inference using synthetic likelihood: asymptotics and adjustmentsJournal of the American Statistical Association (JASA), 2019
David T. Frazier
David J. Nott
Christopher C. Drovandi
Robert Kohn
461
52
0
13 Feb 2019
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