Bayesian inference using synthetic likelihood: asymptotics and adjustments

13 February 2019

David T. Frazier

David J. Nott

Christopher C. Drovandi

Robert Kohn

ArXiv PDF HTML

Papers citing "Bayesian inference using synthetic likelihood: asymptotics and adjustments"

23 / 23 papers shown

Title
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 129 217 0 09 May 2023
An MCMC Approach to Classical Estimation Victor Chernozhukov H. Hong 240 819 0 18 Jan 2023
On a Variational Approximation based Empirical Likelihood ABC Method S. Chaudhuri Subhro Ghosh David J. Nott Kim Cuc Pham 85 2 0 12 Nov 2020
Efficient Bayesian synthetic likelihood with whitening transformations Jacob W. Priddle Scott A. Sisson David T. Frazier Christopher C. Drovandi 32 18 0 11 Sep 2019
Robustly estimating the marginal likelihood for cognitive models via importance sampling Minh-Ngoc Tran Marcel Scharth David Gunawan Robert Kohn Scott D. Brown Guy E. Hawkins 15 15 0 14 Jun 2019
Robust Approximate Bayesian Inference with Synthetic Likelihood David T. Frazier Christopher C. Drovandi 27 45 0 09 Apr 2019
An easy-to-use empirical likelihood ABC method S. Chaudhuri Subhro Ghosh David J. Nott Kim Cuc Pham 96 6 0 03 Oct 2018
Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach Ziwen An David J. Nott Christopher C. Drovandi 48 51 0 16 Sep 2018
Bootstrapped synthetic likelihood R. Everitt 171 14 0 15 Nov 2017
Model Misspecification in ABC: Consequences and Diagnostics David T. Frazier Christian P. Robert Judith Rousseau 48 27 0 07 Aug 2017
Likelihood-free inference by ratio estimation Owen Thomas Ritabrata Dutta J. Corander Samuel Kaski Michael U. Gutmann 145 147 0 30 Nov 2016
Convergence of Regression Adjusted Approximate Bayesian Computation Wentao Li Paul Fearnhead 137 36 0 22 Sep 2016
The Correlated Pseudo-Marginal Method George Deligiannidis Arnaud Doucet M. Pitt 52 101 0 16 Nov 2015
On the Asymptotic Efficiency of Approximate Bayesian Computation Estimators Wentao Li Paul Fearnhead 54 62 0 10 Jun 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 115 285 0 14 Jan 2015
Speeding Up MCMC by Efficient Data Subsampling M. Quiroz Robert Kohn M. Villani Minh-Ngoc Tran 70 174 0 16 Apr 2014
GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation Edward Meeds Max Welling 142 122 0 13 Jan 2014
Accelerating ABC methods using Gaussian processes Richard D. Wilkinson 67 108 0 07 Jan 2014
On the efficiency of pseudo-marginal random walk Metropolis algorithms Chris Sherlock Alexandre Hoang Thiery Gareth O. Roberts Jeffrey S. Rosenthal 55 190 0 27 Sep 2013
A General Framework for Updating Belief Distributions Pier Giovanni Bissiri Chris Holmes S. Walker 147 472 0 27 Jun 2013
Bayesian computation via empirical likelihood Kerrie Mengersen Pierre Pudlo Christian P. Robert 52 83 0 25 May 2012
A tail inequality for quadratic forms of subgaussian random vectors Daniel J. Hsu Sham Kakade Tong Zhang 86 418 0 13 Oct 2011
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 131 890 0 31 Mar 2009