Likelihood free inference for Markov processes: a comparison

2 October 2014

Papers citing "Likelihood free inference for Markov processes: a comparison"

11 / 11 papers shown

Title
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation Henri Pesonen J. Corander 54 0 0 30 Dec 2023
Guided sequential ABC schemes for intractable Bayesian models Umberto Picchini M. Tamborrino 102 8 0 24 Jun 2022
Accelerating inference for stochastic kinetic models Tom Lowe Andrew Golightly Chris Sherlock 77 5 0 06 Jun 2022
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins Holly F. Fisher R. Boys Colin S. Gillespie C. Proctor Andrew Golightly 13 0 0 16 Sep 2020
Exact Bayesian inference for discretely observed Markov Jump Processes using finite rate matrices Chris Sherlock Andrew Golightly 52 3 0 16 Dec 2019
Stratified sampling and bootstrapping for approximate Bayesian computation Umberto Picchini R. Everitt 47 1 0 20 May 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 400 332 0 17 May 2019
Bayesian inference for a partially observed birth-death process using data on proportions R. Boys H. Ainsworth Colin S. Gillespie 33 2 0 12 Mar 2018
Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models Andrew Golightly E. Bradley Tom Lowe Colin S. Gillespie 56 12 0 20 Feb 2018
Adapting the ABC distance function D. Prangle 94 94 0 03 Jul 2015
Approximate maximum likelihood estimation using data-cloning ABC Umberto Picchini Rachele Anderson 49 13 0 23 May 2015