Christian P. Robert

40 papers Misc 2Journal 34Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian Adversarial Privacy.
CoRR
Cameron Bell, Timothy Johnston, Antoine Luciano, Christian P. Robert
2026 J jnl
Persuasive Privacy.
CoRR
Joshua J. Bon, James Bailie, Judith Rousseau, Christian P. Robert
2025 J jnl
Prequential posteriors.
CoRR
Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert, Ritabrata Dutta
2025 J jnl
Simulating signed mixtures.
Stat. Comput.
Christian P. Robert, Julien Stoehr
2024 J jnl
Generalized Bayesian deep reinforcement learning.
CoRR
Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert, Ritabrata Dutta
2024 J jnl
Insufficient Gibbs sampling.
Stat. Comput.
Antoine Luciano, Christian P. Robert, Robin J. Ryder
2022 J jnl
The Importance Markov Chain.
CoRR
Charly Andral, Randal Douc, Hugo Marival, Christian P. Robert
2020 J jnl
Coordinate sampler: a non-reversible Gibbs-like MCMC sampler.
Stat. Comput.
Changye Wu, Christian P. Robert
2020 J jnl
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.
J. Mach. Learn. Res.
Aki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylänki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert
2019 J jnl
ABC random forests for Bayesian parameter inference.
Bioinform.
Louis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian P. Robert, Arnaud Estoup
2018 J jnl
Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale.
CoRR
Changye Wu, Julien Stoehr, Christian P. Robert
2018 J jnl
Jeffreys priors for mixture estimation: Properties and alternatives.
Comput. Stat. Data Anal.
Clara Grazian, Christian P. Robert
2016 J jnl
Reliable ABC model choice via random forests.
Bioinform.
Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, Christian P. Robert
2015 J jnl
An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4".
Stat. Comput.
Antonietta Mira, Christian P. Robert
2015 J jnl
Bayesian computation: a summary of the current state, and samples backwards and forwards.
Stat. Comput.
Peter J. Green, Krzysztof Latuszynski, Marcelo Pereyra, Christian P. Robert
2015 J jnl
Introduction to "Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields" by J. Stoehr, P. Pudlo, L. Cucala.
Stat. Comput.
Christian P. Robert
2015 J jnl
Pre-processing for approximate Bayesian computation in image analysis.
Stat. Comput.
Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert
2014 — conf
Approximate Bayesian Computation: A Survey on Recent Results.
MCQMC
Christian P. Robert
2013 J jnl
Introduction to Special Issue on Monte Carlo Methods in Statistics.
ACM Trans. Model. Comput. Simul.
Arnaud Doucet, Christian P. Robert
2012 J jnl
Approximate Bayesian computational methods.
Stat. Comput.
Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder
2012 J jnl
In praise of the referee
CoRR
Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert
2011 J jnl
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.
Stat. Comput.
Christian P. Robert
2011 Misc conf
Simulation in statistics.
WSC
Christian P. Robert
2010 J jnl
On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation.
Comput. Stat. Data Anal.
Alessandra Iacobucci, Jean-Michel Marin, Christian P. Robert
2010 J jnl
Using parallel computation to improve Independent Metropolis--Hastings based estimation
CoRR
Pierre Jacob, Christian P. Robert, Murray H. Smith
2008 J jnl
Adaptive importance sampling in general mixture classes.
Stat. Comput.
Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert
2008 J jnl
Inferring population history with
Bioinform.
Jean-Marie Cornuet, Filipe Santos, Mark A. Beaumont, Christian P. Robert, Jean-Michel Marin, David J. Balding, Thomas Guillemaud, Arnaud Estoup
2007 J jnl
Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images.
Comput. Stat. Data Anal.
Clair L. Alston, Kerrie L. Mengersen, Christian P. Robert, J. M. Thompson, P. J. Littlefield, D. Perry, A. J. Ball
2007 J jnl
Confidence bands for Brownian motion and applications to Monte Carlo simulation.
Stat. Comput.
Wilfrid S. Kendall, Jean-Michel Marin, Christian P. Robert
2006 J jnl
Iterated importance sampling in missing data problems.
Comput. Stat. Data Anal.
Gilles Celeux, Jean-Michel Marin, Christian P. Robert
2004 — book
Monte Carlo Statistical Methods
Christian P. Robert, George Casella
2003 J jnl
Perfect simulation of positive Gaussian distributions.
Stat. Comput.
Anne Philippe, Christian P. Robert
2002 J jnl
Marginal maximum a posteriori estimation using Markov chain Monte Carlo.
Stat. Comput.
Arnaud Doucet, Simon J. Godsill, Christian P. Robert
2001 J jnl
Riemann sums for MCMC estimation and convergence monitoring.
Stat. Comput.
Anne Philippe, Christian P. Robert
1999 Misc conf
Marginal MAP estimation using Markov chain Monte Carlo.
ICASSP
Christian P. Robert, Arnaud Doucet, Simon J. Godsill
1999 J jnl
On perfect simulation for some mixtures of distributions.
Stat. Comput.
James P. Hobert, Christian P. Robert, D. M. Titterington
1998 — conf
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring.
COMPSTAT
Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert
1998 — conf
MCMC Specifics for Latent Variable Models.
COMPSTAT
Christian P. Robert
1998 J jnl
Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation.
Stat. Comput.
Christian P. Robert, D. M. Titterington
1997 J jnl
Inference in model-based cluster analysis.
Stat. Comput.
Halima Bensmail, Gilles Celeux, Adrian E. Raftery, Christian P. Robert