Christian P. Robert

According to our database, Christian P. Robert authored at least 35 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Insufficient Gibbs sampling.

Antoine Luciano, Christian P. Robert, Robin J. Ryder

Stat. Comput., August, 2024

2022

The Importance Markov Chain.

Charly Andral, Randal Douc, Hugo Marival, Christian P. Robert

CoRR, 2022

2020

Coordinate sampler: a non-reversible Gibbs-like MCMC sampler.

Changye Wu, Christian P. Robert

Stat. Comput., 2020

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.

Aki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylänki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert

J. Mach. Learn. Res., 2020

2019

ABC random forests for Bayesian parameter inference.

Louis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian P. Robert, Arnaud Estoup

Bioinform., 2019

2018

Jeffreys priors for mixture estimation: Properties and alternatives.

Clara Grazian, Christian P. Robert

Comput. Stat. Data Anal., 2018

Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale.

Changye Wu, Julien Stoehr, Christian P. Robert

CoRR, 2018

2016

Reliable ABC model choice via random forests.

Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, Christian P. Robert

Bioinform., 2016

2015

Introduction to "Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields" by J. Stoehr, P. Pudlo, L. Cucala.

Christian P. Robert

Stat. Comput., 2015

Pre-processing for approximate Bayesian computation in image analysis.

Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert

Stat. Comput., 2015

An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4".

Antonietta Mira, Christian P. Robert

Stat. Comput., 2015

Bayesian computation: a summary of the current state, and samples backwards and forwards.

Peter J. Green, Krzysztof Latuszynski, Marcelo Pereyra, Christian P. Robert

Stat. Comput., 2015

2014

Approximate Bayesian Computation: A Survey on Recent Results.

Christian P. Robert

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014

2013

Introduction to Special Issue on Monte Carlo Methods in Statistics.

Arnaud Doucet, Christian P. Robert

ACM Trans. Model. Comput. Simul., 2013

2012

Approximate Bayesian computational methods.

Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder

Stat. Comput., 2012

In praise of the referee

Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert

CoRR, 2012

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, $ 99.00.

Christian P. Robert

Stat. Comput., 2011

Simulation in statistics.

Christian P. Robert

Proceedings of the Winter Simulation Conference 2011, 2011

2010

On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation.

Alessandra Iacobucci, Jean-Michel Marin, Christian P. Robert

Comput. Stat. Data Anal., 2010

Using parallel computation to improve Independent Metropolis--Hastings based estimation

Pierre Jacob, Christian P. Robert, Murray H. Smith

CoRR, 2010

2008

Adaptive importance sampling in general mixture classes.

Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert

Stat. Comput., 2008

Inferring population history with <i>DIY ABC</i>: a user-friendly approach to approximate Bayesian computation.

Jean-Marie Cornuet, Filipe Santos, Mark A. Beaumont, Christian P. Robert, Jean-Michel Marin, David J. Balding, Thomas Guillemaud, Arnaud Estoup

Bioinform., 2008

2007

Confidence bands for Brownian motion and applications to Monte Carlo simulation.

Wilfrid S. Kendall, Jean-Michel Marin, Christian P. Robert

Stat. Comput., 2007

Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images.

Clair L. Alston, Kerrie L. Mengersen, Christian P. Robert, J. M. Thompson, P. J. Littlefield, D. Perry, A. J. Ball

Comput. Stat. Data Anal., 2007

2006

Iterated importance sampling in missing data problems.

Gilles Celeux, Jean-Michel Marin, Christian P. Robert

Comput. Stat. Data Anal., 2006

2004

Monte Carlo Statistical Methods

Christian P. Robert, George Casella

Springer Texts in Statistics, Springer, ISBN: 978-1-4757-4145-2, 2004

2003

Perfect simulation of positive Gaussian distributions.

Anne Philippe, Christian P. Robert

Stat. Comput., 2003

2002

Marginal maximum a posteriori estimation using Markov chain Monte Carlo.

Arnaud Doucet, Simon J. Godsill, Christian P. Robert

Stat. Comput., 2002

2001

Riemann sums for MCMC estimation and convergence monitoring.

Anne Philippe, Christian P. Robert

Stat. Comput., 2001

1999

On perfect simulation for some mixtures of distributions.

James P. Hobert, Christian P. Robert, D. M. Titterington

Stat. Comput., 1999

Marginal MAP estimation using Markov chain Monte Carlo.

Christian P. Robert, Arnaud Doucet, Simon J. Godsill

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation.

Christian P. Robert, D. M. Titterington

Stat. Comput., 1998

MCMC Specifics for Latent Variable Models.

Christian P. Robert

Proceedings of the COMPSTAT 1998, 1998

Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring.

Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert

Proceedings of the COMPSTAT 1998, 1998

1997

Inference in model-based cluster analysis.

Halima Bensmail, Gilles Celeux, Adrian E. Raftery, Christian P. Robert

Stat. Comput., 1997