Scalable Inference for Markov Processes with Intractable Likelihoods

26 March 2014

Papers citing "Scalable Inference for Markov Processes with Intractable Likelihoods"

7 / 7 papers shown

Title
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models Andrew Golightly D. Henderson Chris Sherlock 64 81 0 17 Jan 2014
On the efficiency of pseudo-marginal random walk Metropolis algorithms Chris Sherlock Alexandre Hoang Thiery Gareth O. Roberts Jeffrey S. Rosenthal 69 191 0 27 Sep 2013
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation M. Blum M. Nunes D. Prangle Scott A. Sisson 168 364 0 16 Feb 2012
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo Sarah Filippi Chris P. Barnes Julien Cornebise M. Stumpf 108 127 0 30 Jun 2011
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 164 894 0 31 Mar 2009
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems Tina Toni David Welch N. Strelkowa Andreas Ipsen M. Stumpf 221 1,544 0 14 Jan 2009
Adaptive approximate Bayesian computation Mark Beaumont J. Cornuet Jean-Michel Marin Christian P. Robert 173 643 0 15 May 2008