Christian P. Robert - researchr alias

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Viewing Publication 1 - 28 from 28

2020

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned DataAki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylänki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert. jmlr, 21, 2020. [doi]

Coordinate sampler: a non-reversible Gibbs-like MCMC samplerChangye Wu, Christian P. Robert. sac, 30(3):721-730, 2020. [doi]

2019

ABC random forests for Bayesian parameter inferenceLouis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian P. Robert, Arnaud Estoup. bioinformatics, 35(10):1720-1728, 2019. [doi]

2018

Jeffreys priors for mixture estimation: Properties and alternativesClara Grazian, Christian P. Robert. csda, 121:149-163, 2018. [doi]

2016

Reliable ABC model choice via random forestsPierre Pudlo, Jean-Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, Christian P. Robert. bioinformatics, 32(6):859-866, 2016. [doi]

2015

2014

Approximate Bayesian Computation: A Survey on Recent ResultsChristian P. Robert. mcqmc 2016: 185-205 [doi]

2013

Introduction to Special Issue on Monte Carlo Methods in StatisticsArnaud Doucet, Christian P. Robert. tomacs, 23(1):1, 2013. [doi]

2012

Approximate Bayesian computational methodsJean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder. sac, 22(6):1167-1180, 2012. [doi]

2011

James E. Gentle: Computational statistics (Statistics and Computing Series) - Springer-Verlag, New York, April 2009, xxi+727 pages, ISBN 978-0-387-98143-7, DOI 10.1007/978-0-387-98144-4, 99.00Christian P. Robert. sac, 21(2):289-291, 2011. [doi]

Simulation in statisticsChristian P. Robert. wsc 2011: 108-119 [doi]

2010

On variance stabilisation in Population Monte Carlo by double Rao-BlackwellisationAlessandra Iacobucci, Jean-Michel Marin, Christian P. Robert. csda, 54(3):698-710, 2010. [doi]

2008

Adaptive importance sampling in general mixture classesOlivier CappÃ©, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert. sac, 18(4):447-459, 2008. [doi]

Inferring population history with ::::DIY ABC::::: a user-friendly approach to approximate Bayesian computationJean-Marie Cornuet, Filipe Santos, Mark A. Beaumont, Christian P. Robert, Jean-Michel Marin, David J. Balding, Thomas Guillemaud, Arnaud Estoup. bioinformatics, 24(23):2713-2719, 2008. [doi]

2007

Confidence bands for Brownian motion and applications to Monte Carlo simulationW. S. Kendall, Jean-Michel Marin, Christian P. Robert. sac, 17(1):1-10, 2007. [doi]

2006

Iterated importance sampling in missing data problemsGilles Celeux, Jean-Michel Marin, Christian P. Robert. csda, 50(12):3386-3404, 2006. [doi]

2004

Monte Carlo Statistical MethodsChristian P. Robert, George Casella. Springer Texts in Statistics, Springer, 2004. [doi]

2003

Perfect simulation of positive Gaussian distributionsAnne Philippe, Christian P. Robert. sac, 13(2):179-186, 2003. [doi]

2002

Marginal maximum a posteriori estimation using Markov chain Monte CarloArnaud Doucet, Simon J. Godsill, Christian P. Robert. sac, 12(1):77-84, 2002. [doi]

2001

Riemann sums for MCMC estimation and convergence monitoringAnne Philippe, Christian P. Robert. sac, 11(2):103-115, 2001. [doi]

1999

On perfect simulation for some mixtures of distributionsJames P. Hobert, Christian P. Robert, D. M. Titterington. sac, 9(4):287-298, 1999. [doi]

1998

Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic MonitoringOlivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert. compstat 1998: 215-220 [doi]

Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimationChristian P. Robert, D. M. Titterington. sac, 8(2):145-158, 1998. [doi]

MCMC Specifics for Latent Variable ModelsChristian P. Robert. compstat 1998: 101-112 [doi]

1997

Inference in model-based cluster analysisHalima Bensmail, Gilles Celeux, Adrian E. Raftery, Christian P. Robert. sac, 7(1):1-10, 1997. [doi]

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