Bayesian model comparison with un-normalised likelihoods

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Bayesian model comparison with un-normalised likelihoods

1 April 2015

Melina Evdemon-Hogan

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Papers citing "Bayesian model comparison with un-normalised likelihoods"

16 / 16 papers shown

Title
Sequential Monte Carlo with transformations R. Everitt Richard Culliford F. Medina-Aguayo Daniel J. Wilson 96 14 0 20 Dec 2016
Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation Umberto Picchini J. Forman 93 18 0 03 Oct 2013
Semi-automatic selection of summary statistics for ABC model choice D. Prangle Paul Fearnhead M. Cox P. Biggs N. French 101 79 0 22 Feb 2013
Evidence and Bayes factor estimation for Gibbs random fields Nial Friel 85 22 0 14 Jan 2013
Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms Christophe Andrieu M. Vihola 102 127 0 04 Oct 2012
Toward Practical N2 Monte Carlo: the Marginal Particle Filter Mike Klaas Nando de Freitas Arnaud Doucet 66 139 0 04 Jul 2012
MCMC for doubly-intractable distributions Iain Murray Zoubin Ghahramani D. MacKay 101 418 0 27 Jun 2012
Coupled MCMC with a randomized acceptance probability Geoff K. Nicholls C. Fox Alexis Muir Watt 88 41 0 30 May 2012
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks R. Everitt 74 100 0 14 Mar 2012
Error Bounds and Normalizing Constants for Sequential Monte Carlo in High Dimensions A. Beskos Dan Crisan Ajay Jasra N. Whiteley 398 22 0 07 Dec 2011
Relevant statistics for Bayesian model choice Jean-Michel Marin N. Pillai Christian P. Robert Judith Rousseau 95 144 0 21 Oct 2011
Stability properties of some particle filters N. Whiteley 88 81 0 30 Sep 2011
SMC^2: an efficient algorithm for sequential analysis of state-space models Nicolas Chopin Pierre E. Jacob O. Papaspiliopoulos 100 357 0 07 Jan 2011
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 189 895 0 31 Mar 2009
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error Richard D. Wilkinson 123 275 0 20 Nov 2008
ABC likelihood-freee methods for model choice in Gibbs random fields Aude Grelaud Christian P. Robert Jean-Michel Marin F. Rodolphe Jean-François Taly 183 167 0 17 Jul 2008