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
Olivier CappéCNRSVerified email at cnrs.fr
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Arnaud GuillinProfesseur de Mathématiques, Université Clermont-AuvergneVerified email at uca.fr
Mark BeaumontProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
randal douctelecom sudparisVerified email at telecom-sudparis.eu
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Natesh S. PillaiHarvard UniversityVerified email at fas.harvard.edu
Merrilee HurnUniversity of BathVerified email at bath.ac.uk
Martin T. WellsCharles A. Alexander Professor of Statistical Science, Cornell UniversityVerified email at cornell.edu
Pierre E. JacobESSEC Business SchoolVerified email at essec.edu
Robin J. RyderCEREMADE, Université Paris DauphineVerified email at ceremade.dauphine.fr
Clara GrazianUniversity of SydneyVerified email at sydney.edu.au
David Tyler FrazierMonash University, Department of Econometrics and Business StatisticsVerified email at monash.edu
Gael M. MartinProfessor of Econometrics, Department of Econometrics and Business Statistics, Monash UniversityVerified email at monash.edu
Darren WraithAssociate Professor, Queensland University of TechnologyVerified email at qut.edu.au

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	13953	1999
The Bayesian choice: from decision-theoretic foundations to computational implementation CP Robert Springer, 2007	3941	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	1391	1994
Deviance information criteria for missing data models G Celeux, F Forbes, CP Robert, DM Titterington	1037	2006
Introducing monte carlo methods with r CP Robert, G Casella, G Casella Springer, 2010	943	2010
Approximate Bayesian computational methods JM Marin, P Pudlo, CP Robert, RJ Ryder Statistics and computing 22 (6), 1167-1180, 2012	920	2012
Rao-Blackwellisation of sampling schemes G Casella, CP Robert Biometrika 83 (1), 81-94, 1996	843	1996
Abandon statistical significance BB McShane, D Gal, A Gelman, C Robert, JL Tackett The American Statistician 73 (sup1), 235-245, 2019	832	2019
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	804	2008
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	799	2000
Simulation of truncated normal variables CP Robert Statistics and computing 5, 121-125, 1995	683	1995
Adaptive approximate Bayesian computation MA Beaumont, JM Cornuet, JM Marin, CP Robert Biometrika 96 (4), 983-990, 2009	655	2009
Bayesian core: a practical approach to computational Bayesian statistics JM Marin, CP Robert Springer, 2007	594	2007
Bayesian modelling and inference on mixtures of distributions JM Marin, K Mengersen, CP Robert Handbook of statistics 25, 459-507, 2005	594	2005
Population monte carlo O Cappé, A Guillin, JM Marin, CP Robert Journal of Computational and Graphical Statistics 13 (4), 907-929, 2004	586	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	403	2011
A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data C Robert, G Casella	393	2011
Adaptive importance sampling in general mixture classes O Cappé, R Douc, A Guillin, JM Marin, CP Robert Statistics and Computing 18, 447-459, 2008	350	2008
Méthodes de Monte Carlo par chaînes de Markov CP Robert Economica, 1996	336	1996
Reliable ABC model choice via random forests P Pudlo, JM Marin, A Estoup, JM Cornuet, M Gautier, CP Robert Bioinformatics 32 (6), 859-866, 2016	318	2016

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