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On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo

30 June 2011

Papers citing "On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo"

29 / 29 papers shown

Title
Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation Adeline Samson M. Tamborrino I. Tubikanec 58 2 0 28 May 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs Sanmitra Ghosh Paul J. Birrell Daniela De Angelis 82 1 0 02 May 2024
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation Henri Pesonen J. Corander 69 0 0 30 Dec 2023
Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations P. Jovanovski Andrew Golightly Umberto Picchini 70 1 0 16 Oct 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt Desi R. Ivanova Daniel Habermann Baixu Chen Jie Jiang Stefan T. Radev FedML 90 7 0 06 Oct 2023
A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian Computation Emad Alamoudi Felipe Reck Nils Bundgaard Frederik Graw L. Brusch Jan Hasenauer Yannik Schälte 58 0 0 30 Apr 2023
Approximate Methods for Bayesian Computation Radu V. Craiu Evgeny Levi 65 5 0 06 Oct 2022
Modeling Self-Propagating Malware with Epidemiological Models Alesia Chernikova N. Gozzi Simona Boboila N. Perra Tina Eliassi-Rad Alina Oprea 119 7 0 05 Aug 2022
Guided sequential ABC schemes for intractable Bayesian models Umberto Picchini M. Tamborrino 150 8 0 24 Jun 2022
pyABC: Efficient and robust easy-to-use approximate Bayesian computation Yannik Schälte Emmanuel Klinger Emad Alamoudi Jan Hasenauer 43 25 0 24 Mar 2022
Measuring the accuracy of likelihood-free inference Aden Forrow R. Baker 45 2 0 15 Dec 2021
Model choice and parameter inference in controlled branching processes Miguel A. González C. Minuesa I. Puerto 123 1 0 08 Aug 2021
Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels P. L. Green Robert E. Moore Ryan J Jackson Jinglai Li Simon Maskell 65 13 0 24 Apr 2020
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling Thomas P. Prescott R. Baker 56 13 0 17 Jan 2020
Rapid Bayesian inference for expensive stochastic models D. Warne R. Baker Matthew J. Simpson 148 16 0 14 Sep 2019
Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian Methods Evgeny Levi Radu V. Craiu 75 6 0 16 May 2019
Approximate Bayesian Computation via Population Monte Carlo and Classification C. Rogers-Smith Henri Pesonen Samuel Kaski 116 1 0 29 Oct 2018
Optimal proposals for Approximate Bayesian Computation Justin Alsing Benjamin Dan Wandelt S. Feeney 131 6 0 18 Aug 2018
ABC Samplers Y. Fan Scott A. Sisson 63 29 0 26 Feb 2018
Multilevel rejection sampling for approximate Bayesian computation D. Warne R. Baker Matthew J. Simpson 115 29 0 10 Feb 2017
Convergence of Regression Adjusted Approximate Bayesian Computation Wentao Li Paul Fearnhead 166 36 0 22 Sep 2016
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations Sanmitra Ghosh S. Dasmahapatra K. Maharatna 66 7 0 17 Jul 2015
Approximate Bayesian Computation for Forward Modeling in Cosmology Joel Akeret Alexandre Réfrégier A. Amara Sebastian Seehars C. Hasner 73 90 0 27 Apr 2015
Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation Fernando V. Bonassi M. West 262 73 0 26 Mar 2015
Likelihood free inference for Markov processes: a comparison J. Owen D. Wilkinson Colin S. Gillespie 223 33 0 02 Oct 2014
Scalable Inference for Markov Processes with Intractable Likelihoods J. Owen D. Wilkinson Colin S. Gillespie TPM 172 29 0 26 Mar 2014
Pre-processing for approximate Bayesian computation in image analysis M. Moores Christopher C. Drovandi Kerrie Mengersen Christian P. Robert 137 40 0 18 Mar 2014
Optimizing Threshold - Schedules for Approximate Bayesian Computation Sequential Monte Carlo Samplers: Applications to Molecular Systems D. Silk S. Filippi M. Stumpf 208 11 0 11 Oct 2012
Adaptive approximate Bayesian computation for complex models Maxime Lenormand F. Jabot G. Deffuant TPM 217 152 0 05 Nov 2011