Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation

26 March 2015

Papers citing "Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation"

18 / 18 papers shown

Title
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 118 2 0 17 Jan 2025
Optimal simulation-based Bayesian decisions Justin Alsing Thomas D. P. Edwards Benjamin Dan Wandelt 36 1 0 09 Nov 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 34 0 10 Oct 2022
Weakly informative priors and prior-data conflict checking for likelihood-free inference Atlanta Chakraborty David J. Nott Michael Evans 22 4 0 21 Feb 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 28 42 0 09 Feb 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 32 14 0 19 Nov 2021
A Comparison of Likelihood-Free Methods With and Without Summary Statistics Christopher C. Drovandi David T. Frazier 34 33 0 03 Mar 2021
Minimax Confidence Intervals for the Sliced Wasserstein Distance Tudor Manole Sivaraman Balakrishnan Larry A. Wasserman 19 35 0 17 Sep 2019
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 24 68 0 06 Jun 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 60 358 0 18 May 2018
ABC Samplers Y. Fan Scott A. Sisson 22 28 0 26 Feb 2018
Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann P. J. Gonçalves Giacomo Bassetto Kaan Öcal M. Nonnenmacher Jakob H. Macke 34 240 0 06 Nov 2017
On parameter estimation with the Wasserstein distance Espen Bernton H. Shakespeare Mathieu Gerber Christian P. Robert 42 77 0 18 Jan 2017
Convergence of Regression Adjusted Approximate Bayesian Computation Wentao Li Paul Fearnhead 116 36 0 22 Sep 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 32 158 0 20 May 2016
Adapting the ABC distance function D. Prangle 32 94 0 03 Jul 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference Edward Meeds Max Welling 27 36 0 11 Jun 2015
Optimizing Threshold - Schedules for Approximate Bayesian Computation Sequential Monte Carlo Samplers: Applications to Molecular Systems D. Silk S. Filippi M. Stumpf 118 11 0 11 Oct 2012