Christian Robert
Christian Robert
Université Paris Dauphine, PSL & University of Warwick
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Monte Carlo statistical methods
C Robert, G Casella
Springer Science & Business Media, 2013
The Bayesian choice: from decision-theoretic foundations to computational implementation
C Robert
Springer Science & Business Media, 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
Deviance information criteria for missing data models
G Celeux, F Forbes, CP Robert, DM Titterington
Bayesian analysis 1 (4), 651-673, 2006
Introducing monte carlo methods with r
CP Robert, G Casella, G Casella
Springer, 2010
Rao-Blackwellisation of sampling schemes
G Casella, CP Robert
Biometrika 83 (1), 81-94, 1996
Approximate Bayesian computational methods
JM Marin, P Pudlo, CP Robert, RJ Ryder
Statistics and Computing 22 (6), 1167-1180, 2012
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
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
Simulation of truncated normal variables
CP Robert
Statistics and computing 5 (2), 121-125, 1995
Bayesian core: a practical approach to computational Bayesian statistics
JM Marin, C Robert
Springer Science & Business Media, 2007
Population monte carlo
O Cappé, A Guillin, JM Marin, CP Robert
Journal of Computational and Graphical Statistics 13 (4), 907-929, 2004
Adaptive approximate Bayesian computation
MA Beaumont, JM Cornuet, JM Marin, CP Robert
Biometrika 96 (4), 983-990, 2009
Bayesian modelling and inference on mixtures of distributions
JM Marin, K Mengersen, CP Robert
Handbook of statistics 25, 459-507, 2005
Abandon statistical significance
BB McShane, D Gal, A Gelman, C Robert, JL Tackett
The American Statistician 73 (sup1), 235-245, 2019
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
A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data
C Robert, G Casella
Statistical Science, 102-115, 2011
Méthodes de Monte Carlo par chaînes de Markov
CP Robert
Economica, 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
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
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