v1v2v3v4v5 (latest)

The Use of a Single Pseudo-Sample in Approximate Bayesian Computation

25 April 2014

Natesh Pillai

Papers citing "The Use of a Single Pseudo-Sample in Approximate Bayesian Computation"

24 / 24 papers shown

Title
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 191 220 0 09 May 2023
Importance is Important: A Guide to Informed Importance Tempering Methods Guanxun Li Aaron Smith Quan Zhou 72 1 0 13 Apr 2023
Guided sequential ABC schemes for intractable Bayesian models Umberto Picchini M. Tamborrino 102 8 0 24 Jun 2022
Black-box Bayesian inference for economic agent-based models Joel Dyer Patrick W Cannon J. Farmer Sebastian M. Schmon 107 24 0 01 Feb 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 51 4 0 26 Jan 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021
Metropolis-Hastings with Averaged Acceptance Ratios Christophe Andrieu Sinan Yildiri Arnaud Doucet Nicolas Chopin 72 6 0 29 Dec 2020
No Free Lunch for Approximate MCMC J. Johndrow Natesh S. Pillai Aaron Smith 102 18 0 23 Oct 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 95 17 0 14 Apr 2020
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 95 47 0 29 Oct 2019
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario Christophe Andrieu Samuel Livingstone 73 28 0 14 Jun 2019
Stratified sampling and bootstrapping for approximate Bayesian computation Umberto Picchini R. Everitt 58 1 0 20 May 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs E. Buckwar M. Tamborrino I. Tubikanec 68 36 0 04 Mar 2019
On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction M. Vihola Jordan Franks 39 2 0 01 Feb 2019
Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities? Oren Mangoubi Natesh S. Pillai Aaron Smith 103 32 0 09 Aug 2018
On the utility of Metropolis-Hastings with asymmetric acceptance ratio Christophe Andrieu Arnaud Doucet S. Yıldırım Nicolas Chopin 46 17 0 26 Mar 2018
ABC Samplers Y. Fan Scott A. Sisson 53 28 0 26 Feb 2018
Improving approximate Bayesian computation via quasi-Monte Carlo Alexander K. Buchholz Nicolas Chopin 68 26 0 03 Oct 2017
Pseudo-marginal Metropolis--Hastings using averages of unbiased estimators Chris Sherlock Alexandre Hoang Thiery Anthony Lee 58 5 0 31 Oct 2016
Which ergodic averages have finite asymptotic variance? George Deligiannidis Anthony Lee 59 13 0 27 Jun 2016
POPE: Post Optimization Posterior Evaluation of Likelihood Free Models Edward Meeds Michael Chiang Mary Lee Olivier Cinquin John S. Lowengrub Max Welling 38 0 0 09 Dec 2014
Optimal scaling for the pseudo-marginal random walk Metropolis: insensitivity to the noise generating mechanism Chris Sherlock OT 83 9 0 19 Aug 2014
Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets Natesh S. Pillai Aaron Smith 96 59 0 01 May 2014
Establishing some order amongst exact approximations of MCMCs Christophe Andrieu M. Vihola 95 60 0 28 Apr 2014