Monte Carlo statistical methods CP Robert, G Casella, G Casella Springer, 1999 | 14982 | 1999 |
The Bayesian choice: from decision-theoretic foundations to computational implementation CP Robert Springer, 2007 | 4230 | 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 | 1435 | 1994 |
Deviance information criteria for missing data models G Celeux, F Forbes, CP Robert, DM Titterington | 1102 | 2006 |
Introducing monte carlo methods with r CP Robert, G Casella, G Casella Springer, 2010 | 1052 | 2010 |
Abandon statistical significance BB McShane, D Gal, A Gelman, C Robert, JL Tackett The American Statistician 73 (sup1), 235-245, 2019 | 1027 | 2019 |
Approximate Bayesian computational methods JM Marin, P Pudlo, CP Robert, RJ Ryder Statistics and computing 22 (6), 1167-1180, 2012 | 1005 | 2012 |
Rao-Blackwellisation of sampling schemes G Casella, CP Robert Biometrika 83 (1), 81-94, 1996 | 859 | 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 | 835 | 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 | 817 | 2000 |
Adaptive approximate Bayesian computation MA Beaumont, JM Cornuet, JM Marin, CP Robert Biometrika 96 (4), 983-990, 2009 | 728 | 2009 |
Simulation of truncated normal variables CP Robert Statistics and computing 5, 121-125, 1995 | 727 | 1995 |
Bayesian core: a practical approach to computational Bayesian statistics JM Marin, CP Robert Springer, 2007 | 621 | 2007 |
Bayesian modelling and inference on mixtures of distributions JM Marin, K Mengersen, CP Robert Handbook of statistics 25, 459-507, 2005 | 613 | 2005 |
Population monte carlo O Cappé, A Guillin, JM Marin, CP Robert Journal of Computational and Graphical Statistics 13 (4), 907-929, 2004 | 612 | 2004 |
A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data C Robert, G Casella | 466 | 2011 |
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 | 423 | 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 | 389 | 2016 |
Adaptive importance sampling in general mixture classes O Cappé, R Douc, A Guillin, JM Marin, CP Robert Statistics and Computing 18, 447-459, 2008 | 369 | 2008 |
Méthodes de Monte Carlo par chaînes de Markov CP Robert Economica, 1996 | 338 | 1996 |