Christian Robert

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Jean-Michel MarinProfessor of Statistics, University of MontpellierVerified email at umontpellier.fr
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au
Judith RousseauUniversity of oxfordVerified email at stats.ox.ac.uk
Gilles CeleuxDirecteur de recherche InriaVerified email at inria.fr
Pierre PudloAix-Marseille University; Institut de Mathématiques de Marseille (I2M)Verified email at univ-amu.fr
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Olivier CappéCNRSVerified email at cnrs.fr
Mark BeaumontProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Arnaud GuillinProfesseur de Mathématiques, Université Clermont-AuvergneVerified email at uca.fr
randal douctelecom sudparisVerified email at telecom-sudparis.eu
Natesh S. PillaiHarvard UniversityVerified email at fas.harvard.edu
Robin J. RyderCEREMADE, Université Paris DauphineVerified email at ceremade.dauphine.fr
Martin T. WellsCharles A. Alexander Professor of Statistical Science, Cornell UniversityVerified email at cornell.edu
David BaldingMelbourne Integrative Genomics, Schools of BioSciences and of Maths & Stats, U MelbourneVerified email at unimelb.edu.au
Clara GrazianUniversity of SydneyVerified email at sydney.edu.au
Pierre E. JacobESSEC Business SchoolVerified email at essec.edu
Aki VehtariAssociate Professor, Aalto UniversityVerified email at aalto.fi
Merrilee HurnUniversity of BathVerified email at bath.ac.uk
Thomas GuillemaudUMR 1355 Institut Sophia Agrobiotech Inrae-CNRS-Université Côte d'Azur, Sophia AntipolisVerified email at inra.fr

Christian Robert

Université Paris Dauphine, PSL & University of Warwick

Verified email at ceremade.dauphine.fr - Homepage

Bayesian Statistics Monte Carlo methods econometrics astronomy genetics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Monte Carlo statistical methods CP Robert, G Casella, G Casella Springer, 1999	13347	1999
The Bayesian choice: from decision-theoretic foundations to computational implementation CP Robert Springer, 2007	3776	2007
Estimation of finite mixture distributions through Bayesian sampling J Diebolt, CP Robert Journal of the Royal Statistical Society: Series B (Methodological) 56 (2 …, 1994	1347	1994
Deviance information criteria for missing data models G Celeux, F Forbes, CP Robert, DM Titterington Bayesian analysis 1 (4), 651-673, 2006	976	2006
Introducing monte carlo methods with r CP Robert, G Casella, G Casella Springer, 2010	900	2010
Approximate Bayesian computational methods JM Marin, P Pudlo, CP Robert, RJ Ryder Statistics and Computing 22 (6), 1167-1180, 2012	850	2012
Rao-Blackwellisation of sampling schemes G Casella, CP Robert Biometrika 83 (1), 81-94, 1996	819	1996
Computational and inferential difficulties with mixture posterior distributions G Celeux, M Hurn, CP Robert Journal of the American Statistical Association 95 (451), 957-970, 2000	783	2000
Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation JM Cornuet, F Santos, MA Beaumont, CP Robert, JM Marin, DJ Balding, ... Bioinformatics 24 (23), 2713-2719, 2008	780	2008
Abandon statistical significance BB McShane, D Gal, A Gelman, C Robert, JL Tackett The American Statistician 73 (sup1), 235-245, 2019	703	2019
Simulation of truncated normal variables CP Robert Statistics and computing 5 (2), 121-125, 1995	662	1995
Adaptive approximate Bayesian computation MA Beaumont, JM Cornuet, JM Marin, CP Robert Biometrika 96 (4), 983-990, 2009	606	2009
Bayesian core: a practical approach to computational Bayesian statistics JM Marin, CP Robert Springer, 2007	571	2007
Bayesian modelling and inference on mixtures of distributions JM Marin, K Mengersen, CP Robert Handbook of statistics 25, 459-507, 2005	564	2005
Population monte carlo O Cappé, A Guillin, JM Marin, CP Robert Journal of Computational and Graphical Statistics 13 (4), 907-929, 2004	550	2004
Lack of confidence in approximate Bayesian computation model choice CP Robert, JM Cornuet, JM Marin, NS Pillai Proceedings of the National Academy of Sciences 108 (37), 15112-15117, 2011	367	2011
A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data C Robert, G Casella Statistical Science 26 (1), 102-115, 2011	367	2011
Adaptive importance sampling in general mixture classes O Cappé, R Douc, A Guillin, JM Marin, CP Robert Statistics and Computing 18 (4), 447-459, 2008	332	2008
Méthodes de Monte Carlo par chaînes de Markov CP Robert Economica, 1996	328	1996
Optimal sample size for multiple testing: the case of gene expression microarrays P Müller, G Parmigiani, C Robert, J Rousseau Journal of the American Statistical Association 99 (468), 990-1001, 2004	300	2004

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