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

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"

10 / 10 papers shown

Title
Establishing some order amongst exact approximations of MCMCs Christophe Andrieu M. Vihola 59 60 0 28 Apr 2014
Approximate Integrated Likelihood via ABC methods Clara Grazian B. Liseo 119 8 0 03 Mar 2014
On the efficiency of pseudo-marginal random walk Metropolis algorithms Chris Sherlock Alexandre Hoang Thiery Gareth O. Roberts Jeffrey S. Rosenthal 72 191 0 27 Sep 2013
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation Anthony Lee Krzysztof Latuszynski 89 55 0 24 Oct 2012
Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms Christophe Andrieu M. Vihola 88 127 0 04 Oct 2012
Relevant statistics for Bayesian model choice Jean-Michel Marin N. Pillai Christian P. Robert Judith Rousseau 64 144 0 21 Oct 2011
CLTs and asymptotic variance of time-sampled Markov chains K. Łatuszyński Gareth O. Roberts 84 23 0 10 Feb 2011
Approximate Bayesian Computational methods Jean-Michel Marin Pierre Pudlo Christian P. Robert Robin J. Ryder 212 863 0 05 Jan 2011
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 179 895 0 31 Mar 2009
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error Richard D. Wilkinson 104 273 0 20 Nov 2008