Christian P. Robert

Orcid: 0000-0001-6635-3261

Affiliations:
  • University of Warwick, Coventry, UK
  • Université Paris Dauphine, France


According to our database1, Christian P. Robert authored at least 35 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Insufficient Gibbs sampling.
Stat. Comput., August, 2024

2022
The Importance Markov Chain.
CoRR, 2022

2020
Coordinate sampler: a non-reversible Gibbs-like MCMC sampler.
Stat. Comput., 2020

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.
J. Mach. Learn. Res., 2020

2019
ABC random forests for Bayesian parameter inference.
Bioinform., 2019

2018
Jeffreys priors for mixture estimation: Properties and alternatives.
Comput. Stat. Data Anal., 2018

Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale.
CoRR, 2018

2016
Reliable ABC model choice via random forests.
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.
Stat. Comput., 2015

Pre-processing for approximate Bayesian computation in image analysis.
Stat. Comput., 2015

An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4".
Stat. Comput., 2015

Bayesian computation: a summary of the current state, and samples backwards and forwards.
Stat. Comput., 2015

2014
Approximate Bayesian Computation: A Survey on Recent Results.
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014

2013
Introduction to Special Issue on Monte Carlo Methods in Statistics.
ACM Trans. Model. Comput. Simul., 2013

2012
Approximate Bayesian computational methods.
Stat. Comput., 2012

In praise of the referee
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.
Stat. Comput., 2011

Simulation in statistics.
Proceedings of the Winter Simulation Conference 2011, 2011

2010
On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation.
Comput. Stat. Data Anal., 2010

Using parallel computation to improve Independent Metropolis--Hastings based estimation
CoRR, 2010

2008
Adaptive importance sampling in general mixture classes.
Stat. Comput., 2008

Inferring population history with <i>DIY ABC</i>: a user-friendly approach to approximate Bayesian computation.
Bioinform., 2008

2007
Confidence bands for Brownian motion and applications to Monte Carlo simulation.
Stat. Comput., 2007

Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images.
Comput. Stat. Data Anal., 2007

2006
Iterated importance sampling in missing data problems.
Comput. Stat. Data Anal., 2006

2004
Monte Carlo Statistical Methods
Springer Texts in Statistics, Springer, ISBN: 978-1-4757-4145-2, 2004

2003
Perfect simulation of positive Gaussian distributions.
Stat. Comput., 2003

2002
Marginal maximum a posteriori estimation using Markov chain Monte Carlo.
Stat. Comput., 2002

2001
Riemann sums for MCMC estimation and convergence monitoring.
Stat. Comput., 2001

1999
On perfect simulation for some mixtures of distributions.
Stat. Comput., 1999

Marginal MAP estimation using Markov chain Monte Carlo.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation.
Stat. Comput., 1998

MCMC Specifics for Latent Variable Models.
Proceedings of the COMPSTAT 1998, 1998

Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring.
Proceedings of the COMPSTAT 1998, 1998

1997
Inference in model-based cluster analysis.
Stat. Comput., 1997


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