Christian Robert

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Jean-Michel MarinProfessor of Statistics, University of MontpellierEmail verificata su umontpellier.fr
Kerrie MengersenQueensland University of TechnologyEmail verificata su qut.edu.au
Judith RousseauUniversity of oxfordEmail verificata su stats.ox.ac.uk
Gilles CeleuxDirecteur de recherche InriaEmail verificata su inria.fr
Pierre PudloAix-Marseille University; Institut de Mathématiques de Marseille (I2M)Email verificata su univ-amu.fr
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityEmail verificata su stat.columbia.edu
Olivier CappéCNRSEmail verificata su cnrs.fr
Mark BeaumontProfessor of Statistics, University of BristolEmail verificata su bristol.ac.uk
Arnaud GuillinProfesseur de Mathématiques, Université Clermont-AuvergneEmail verificata su uca.fr
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Email verificata su ensae.fr
randal douctelecom sudparisEmail verificata su telecom-sudparis.eu
Robin J. RyderImperial College LondonEmail verificata su imperial.ac.uk
Martin T. WellsCharles A. Alexander Professor of Statistical Science, Cornell UniversityEmail verificata su cornell.edu
Pierre E. JacobESSEC Business SchoolEmail verificata su essec.edu
David Tyler FrazierMonash University, Department of Econometrics and Business StatisticsEmail verificata su monash.edu
Gael M. MartinEmeritus Professor, Monash UniversityEmail verificata su monash.edu
Natesh S. PillaiHarvard UniversityEmail verificata su fas.harvard.edu
Merrilee HurnUniversity of BathEmail verificata su bath.ac.uk
Clara GrazianUniversity of SydneyEmail verificata su sydney.edu.au
Darren WraithAssociate Professor, Queensland University of TechnologyEmail verificata su qut.edu.au

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Christian Robert

Université Paris Dauphine, PSL & University of Warwick

Email verificata su ceremade.dauphine.fr - Home page

Bayesian Statistics Monte Carlo methods econometrics astronomy genetics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Monte Carlo statistical methods CP Robert, G Casella, G Casella Springer, 1999	15502	1999
The Bayesian choice: from decision-theoretic foundations to computational implementation CP Robert Springer, 2007	4339	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	1448	1994
Abandon statistical significance BB McShane, D Gal, A Gelman, C Robert, JL Tackett The American Statistician 73 (sup1), 235-245, 2019	1135	2019
Deviance information criteria for missing data models G Celeux, F Forbes, CP Robert, DM Titterington	1121	2006
Introducing monte carlo methods with r CP Robert, G Casella, G Casella Springer, 2010	1078	2010
Approximate Bayesian computational methods JM Marin, P Pudlo, CP Robert, RJ Ryder Statistics and computing 22 (6), 1167-1180, 2012	1043	2012
Rao-Blackwellisation of sampling schemes G Casella, CP Robert Biometrika 83 (1), 81-94, 1996	878	1996
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	840	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	835	2000
Adaptive approximate Bayesian computation MA Beaumont, JM Cornuet, JM Marin, CP Robert Biometrika 96 (4), 983-990, 2009	770	2009
Simulation of truncated normal variables CP Robert Statistics and computing 5, 121-125, 1995	737	1995
Bayesian core: a practical approach to computational Bayesian statistics JM Marin, CP Robert Springer, 2007	622	2007
Bayesian modelling and inference on mixtures of distributions JM Marin, K Mengersen, CP Robert Handbook of statistics 25, 459-507, 2005	622	2005
Population monte carlo O Cappé, A Guillin, JM Marin, CP Robert Journal of Computational and Graphical Statistics 13 (4), 907-929, 2004	618	2004
A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data C Robert, G Casella	494	2011
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	435	2016
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	435	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	373	2008
The metropolis—hastings algorithm CP Robert, G Casella, CP Robert, G Casella Monte Carlo statistical methods, 267-320, 2004	347	2004

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