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149

Recent publications of Christian P. Robert


Journal articles85 documents

  • Blakeley Mcshane, David Gal, Andrew Gelman, Christian Robert, Jennifer Tackett. Abandon Statistical Significance. The American Statistician, Taylor & Francis, 2019, 73 (sup1), pp.235-245. ⟨10.1080/00031305.2018.1527253⟩. ⟨hal-02274876⟩
  • David T. Frazier, Christian Robert, Judith Rousseau. Model Misspecification in ABC: Consequences and Diagnostics. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, In press. ⟨hal-01961101⟩
  • Changye Wu, Christian Robert. Generalized Bouncy Particle Sampler. Statistics and Computing, Springer Verlag (Germany), In press. ⟨hal-01968784⟩
  • Christian Robert. AIQ. CHANCE, 2019, 32 (2), pp.48-49. ⟨10.1080/09332480.2019.1606599⟩. ⟨hal-02274903⟩
  • Christian Robert. Let the Evidence Speak. CHANCE, 2019, 32 (2), pp.49-50. ⟨10.1080/09332480.2019.1606601⟩. ⟨hal-02274904⟩
  • Christian Robert. Pragmatics of Uncertainty. CHANCE, 2019, 32 (1), pp.59-59. ⟨10.1080/09332480.2019.1579590⟩. ⟨hal-02274922⟩
  • Christian Robert. 10 Great Ideas About Chance. CHANCE, 2019, 32 (1), pp.60-62. ⟨10.1080/09332480.2019.1579591⟩. ⟨hal-02274925⟩
  • Christian Robert. Independent Random Sampling Methods. CHANCE, 2019, 32 (1), pp.62-63. ⟨10.1080/09332480.2019.1579592⟩. ⟨hal-02274928⟩
  • Christian Robert. Surprises in Probability–Seventeen Short Stories. CHANCE, 2019, 32 (2), pp.51-52. ⟨10.1080/09332480.2019.1606603⟩. ⟨hal-02274909⟩
  • Christian Robert. Is that a big number?. CHANCE, 2019, 32 (2), pp.50-51. ⟨10.1080/09332480.2019.1606602⟩. ⟨hal-02274906⟩
  • Christian Robert. The Beauty of Mathematics in Computer Science. CHANCE, 2019, 32 (2), pp.47-48. ⟨10.1080/09332480.2019.1606598⟩. ⟨hal-02274899⟩
  • Espen Bernton, Pierre Jacob, Mathieu Gerber, Christian Robert. Approximate Bayesian computation with the Wasserstein distance. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2019, 81 (2), pp.235-269. ⟨10.1111/rssb.12312⟩. ⟨hal-02274870⟩
  • Christian Robert. Practical Bayesian Inference: A Primer for Physical ScientistsCoryn A. L.Bailer‐JonesCambridge University Press, 2017, x + 295 pages, £69.99, hardcover ISBN 978‐1‐316‐64221‐4. International Statistical Review, Wiley, 2019, 87 (1), pp.182-184. ⟨10.1111/insr.12318⟩. ⟨hal-02274881⟩
  • Christian Robert. Computational Methods for Numerical Analysis with R. CHANCE, 2019, 32 (1), pp.63-63. ⟨10.1080/09332480.2019.1579600⟩. ⟨hal-02274930⟩
  • Louis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian Robert, et al.. ABC random forests for Bayesian parameter inference. Bioinformatics, Oxford University Press (OUP), 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩. ⟨hal-01337189v2⟩
  • Kaniav Kamary, Jeong Eun Lee, Christian Robert. Weakly Informative Reparameterizations for Location-Scale Mixtures. Journal of Computational and Graphical Statistics, Taylor & Francis, 2018, 27 (4), pp.836-848. ⟨hal-01961130⟩
  • Gaël Martin, Brendan P.M. Mccabe, David Frazier, Worapree Maneesoonthorn, Christian Robert. Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models. Journal of Computational and Graphical Statistics, Taylor & Francis, 2018, pp.1-34. ⟨hal-01961123⟩
  • Clara Grazian, Christian Robert. Jeffreys priors for mixture estimation: Properties and alternatives. Computational Statistics and Data Analysis, Elsevier, 2018, 121, pp.149-163. ⟨hal-01961115⟩
  • Christian Robert, Víctor Elvira, Nick Tawn, Changye Wu. Accelerating MCMC algorithms. Wiley Interdisciplinary Reviews: Computational Statistics, Wiley, 2018, 10 (5), pp.e1435. ⟨hal-01961128⟩
  • Christian Robert. Une Vie Brève (One Hundred Twenty-One Days). CHANCE, 2017, 30 (1), pp.40-40. ⟨10.1080/09332480.2017.1302721⟩. ⟨hal-02274932⟩
  • Christian Robert. Superintelligence: Paths, Dangers, Strategies. CHANCE, 2017, 30 (1), pp.42-43. ⟨10.1080/09332480.2017.1302723⟩. ⟨hal-02274939⟩
  • Christian Robert. Statistical Rethinking. CHANCE, 2017, 30 (1), pp.40-42. ⟨10.1080/09332480.2017.1302722⟩. ⟨hal-02274933⟩
  • Christian Robert, Judith Rousseau. How Principled and Practical Are Penalised Complexity Priors?. Statistical Science, Institute of Mathematical Statistics (IMS), 2017, ⟨10.1214/16-STS603⟩. ⟨hal-01517638⟩
  • Christian Robert, Judith Rousseau. Nonparametric Bayesian Clay for Robust Decision Bricks. Statistical Science, Institute of Mathematical Statistics (IMS), 2017, ⟨10.1214/16-STS567⟩. ⟨hal-01517665⟩
  • Christian Robert. The expected demise of the Bayes factor. Journal of Mathematical Psychology, Elsevier, 2016, 72, pp.33-37. ⟨10.1016/j.jmp.2015.08.002⟩. ⟨hal-01409264⟩
  • Kerrie Mengersen, Christopher C. Drovandi, Christian Robert, Pyne David, Christopher Gore. Bayesian Estimation of Small Effects in Exercise and Sports Science. PLoS ONE, Public Library of Science, 2016, 11 (4), pp.e0147311. ⟨10.1371/journal.pone.0147311⟩. ⟨hal-01409269⟩
  • Christian Robert. Comment on: Reflections on the Probability Space Induced by Moment Conditions with Implications for Bayesian Inference. Journal of Financial Econometrics, Oxford University Press (OUP), 2016, 14 (2), pp.265-271. ⟨10.1093/jjfinec/nbv005⟩. ⟨hal-01409283⟩
  • Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, et al.. Reliable ABC model choice via random forests. Bioinformatics, Oxford University Press (OUP), 2016, 32 (6), pp.859 - 866. ⟨10.1093/bioinformatics/btv684⟩. ⟨hal-01067925⟩
  • Clara Grazian, Illaria Masiani, Christian Robert. Comment on Article by Dawid and Musio. Bayesian Analysis, International Society for Bayesian Analysis, 2015, 10 (2), pp.511-515. ⟨10.1214/15-BA942C⟩. ⟨hal-01409240⟩
  • Christian Robert. Discussion of Sequential quasi Monte Carlo. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2015, 77 (3), pp.569-570. ⟨10.1111/rssb.12104⟩. ⟨hal-01409255⟩
  • Christian Robert. Discussion on the paper of Gerber and Chopin "Quasi Monte Carlo". Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2015, 77 (3), pp.2. ⟨hal-01248654⟩
  • Matthew T. Moores, Christopher C. Drovandi, Kerrie Mengersen, Christian P. Robert. Pre-processing for approximate Bayesian computation in image analysis. Statistics and Computing, Springer Verlag (Germany), 2015, 25 (1), pp.11. ⟨10.1007/s11222-014-9525-6⟩. ⟨hal-01067922⟩
  • Peter Green, Krzysztof Łatuszyński, Marcelo Pereyra, Christian Robert. Bayesian computation: a summary of the current state, and samples backwards and forwards. Statistics and Computing, Springer Verlag (Germany), 2015, 25 (4), pp.835-862. ⟨10.1007⟩. ⟨hal-01409252⟩
  • M Yasir, Emmanouil Angelakis, F Bibi, El Azhar, Dipankar Bachar, et al.. Comparison of the gut microbiota of people in France and Saudi Arabia. Diabetes, nutrition & metabolism, 2015, 5 (e153), ⟨10.1038/nutd.2015.3⟩. ⟨hal-01216407⟩
  • Christian Robert. discussion of the paper "Bayesian measures of model complexity and fit" by D. Spiegelhalter et al.. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2014, 76 (3), pp.492-493. ⟨10.1111/rssb.12062⟩. ⟨hal-01067911⟩
  • Andrew Gelman, Christian Robert. Revised evidence for statistical standards. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2014, 111 (19), pp.E1936-E1937. ⟨10.1073/pnas.1322995111⟩. ⟨hal-01067889⟩
  • Christian Robert. Discussion. International Statistical Review, Wiley, 2014, ⟨10.1111/insr.12040⟩. ⟨hal-01517672⟩
  • Jean-Michel Marin, Natesh S. Pillai, Christian P. Robert, Judith Rousseau. Relevant statistics for Bayesian model choice. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2014, 76 (5), pp.1-25. ⟨10.1111/rssb.12056⟩. ⟨hal-01067901⟩
  • Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian Robert. In praise of the referee. ISBA Bulletin, 2013, 20 (1), pp.13-19. ⟨hal-00704798⟩
  • Christian Robert. Error and Inference: an outsider stand on a frequentist philosophy. Theory and Decision, Springer Verlag, 2013, 74 (3), pp.447-461. ⟨10.1007/s11238-012-9298-3⟩. ⟨hal-00656870⟩
  • Kerrie L Mengersen, Pierre Pudlo, Christian Robert. Bayesian computation via empirical likelihood.. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2013, 110 (4), pp.1321-1326. ⟨10.1073/pnas.1208827110⟩. ⟨hal-00796976⟩
  • Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder. Approximate Bayesian computational methods. Statistics and Computing, Springer Verlag (Germany), 2012, 22 (6), ⟨10.1007/s11222-011-9288-2⟩. ⟨hal-00567240v2⟩
  • Jean-Marie Cornuet, Jean-Michel Marin, Antonietta Mira, Christian Robert. Adaptive Multiple Importance Sampling. Scandinavian Journal of Statistics, Wiley, 2012, 39 (4), pp.798-812. ⟨10.1111/j.1467-9469.2011.00756.x⟩. ⟨hal-00403248⟩
  • Gilles Celeux, Mohammed El Anbari, Jean-Michel Marin, Christian Robert. Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation. Bayesian Analysis, International Society for Bayesian Analysis, 2012, 7 (2), pp.477-502. ⟨10.1214/12-BA716⟩. ⟨hal-00943727⟩
  • Alessandra Iacobucci, Christian Robert. Book Reviews (Spring 2012). CHANCE, 2012, 25 (2), pp.57-61. ⟨10.1080/09332480.2012.685375⟩. ⟨hal-00664781⟩
  • Christian Robert. Book reviews, Summer 2012. CHANCE, 2012, 25 (3), pp.58-62. ⟨10.1080/09332480.2012.726567⟩. ⟨hal-00687315⟩
  • Christian Robert. Book reviews, Winter 2011. CHANCE, 2012, 25 (1), pp.49-57. ⟨10.1080/09332480.2012.668470⟩. ⟨hal-00656863⟩
  • Pierre Alquier, Christian Robert. Book reviews, Fall 2012. CHANCE, 2012, 25 (4), pp.57-61. ⟨10.1080/09332480.2012.752298⟩. ⟨hal-00725645⟩
  • Arnaud Estoup, Eric Lombaert, Jean-Michel Marin, Thomas Guillemaud, Pierre Pudlo, et al.. Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics.. Molecular Ecology Resources, Wiley/Blackwell, 2012, 12 (5), pp.846-55. ⟨10.1111/j.1755-0998.2012.03153.x⟩. ⟨hal-00796906⟩
  • Christian Robert. Evidence and Evolution: A Review. Human Genomics, BioMed Central, 2011, 5 (2), pp.130-136. ⟨hal-00494356⟩
  • Christian Robert. Book reviews, Fall 2011. CHANCE, 2011, 24 (4), pp.58-61. ⟨hal-00636655⟩
  • Pierre Jacob, Christian Robert, Murray H. Smith. Using parallel computation to improve Independent Metropolis--Hastings based estimation. Journal of Computational and Graphical Statistics, Taylor & Francis, 2011, 20 (3), pp.1-19. ⟨10.1198/jcgs.2011.10167⟩. ⟨hal-00567242⟩
  • Randal Douc, Christian Robert. A vanilla Rao--Blackwellisation of Metropolis-Hastings algorithms. Annals of Statistics, Institute of Mathematical Statistics, 2011, 39 (1), pp.261-277. ⟨hal-00375377⟩
  • Randal Douc, Christian Robert. A vanilla Rao-Blackwellization of Metropolis-Hastings algorithms. Annals of Statistics, Institute of Mathematical Statistics, 2011, 39 (1), pp.261-277. ⟨10.1214/10-AOS838⟩. ⟨hal-00633481⟩
  • Christian Robert. Bayesian Decision Analysis: Principles and Practice by Jim Q. Smith: A review. International Statistical Review, Wiley, 2011, 79 (2), pp.272-273. ⟨10.1111/j.1751-5823.2011.00149_1.x⟩. ⟨hal-00630257⟩
  • Christian Robert. James E. Gentle: Computational statistics. Statistics and Computing, Springer Verlag (Germany), 2011, 21 (2), pp.289-292. ⟨10.1007/s11222-010-9189-9⟩. ⟨hal-00567243⟩
  • Christian Robert. A Handbook of Statistical Analyses Using R, Second Edition by Brian S. Everitt, Torsten Hothorn: A review. International Statistical Review, Wiley, 2011, 79 (2), pp.276-277. ⟨10.1111/j.1751-5823.2011.00149_5.x⟩. ⟨hal-00630256⟩
  • Christian Robert. Bayesian Model Selection and Statistical Modeling by Tomohiro Ando: A review. International Statistical Review, Wiley, 2011, 79 (1), pp.120-121. ⟨10.1111/j.1751-5823.2011.00134_7.x⟩. ⟨hal-00630255⟩
  • Christian Robert. A Comparison of the Bayesian and frequentist approaches to estimation by Francisco J. Samaniego: A review.. International Statistical Review, Wiley, 2011, 79 (1), pp.117-118. ⟨10.1111/j.1751-5823.2011.00134_4.x⟩. ⟨hal-00630253⟩
  • Christian Robert. Time Series: Modeling, Computation, and Inference by Raquel Prado, Mike West: A review. International Statistical Review, Wiley, 2011, 79 (2), pp.277-279. ⟨10.1111/j.1751-5823.2011.00149_6.x⟩. ⟨hal-00630254⟩
  • Christian Robert. An attempt at reading Keynes' Treatise on Probability. International Statistical Review, Wiley, 2011, 79 (1), pp.1-15. ⟨10.1111/j.1751-5823.2010.00129.x⟩. ⟨hal-00473018⟩
  • Christian Robert. Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser. Statistical Science, Institute of Mathematical Statistics (IMS), 2011, 26 (3), pp.317-318. ⟨10.1214/11-STS352A⟩. ⟨hal-00638147⟩
  • Jean-Michel Marin, Christian P. Robert. On resolving the Savage–Dickey paradox. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2010, 4, pp.643-654. ⟨10.1214/10-EJS564⟩. ⟨hal-00423846⟩
  • Anne-Marie Lézine, Christian Robert, Serge Cleuziou, Marie-Louise Inizan, Frank Braemer, et al.. Climate change and human occupation in the Southern Arabian lowlands during the last deglaciation and the Holocene. Global and Planetary Change, Elsevier, 2010, 72 (4), pp.412 - 428. ⟨10.1016/j.gloplacha.2010.01.016⟩. ⟨hal-01828516⟩
  • Christian Robert. The Search for Certainty: a critical assessment. Bayesian Analysis, International Society for Bayesian Analysis, 2010, 05 (02), pp.213-222. ⟨10.1214/10-BA601⟩. ⟨hal-00473022⟩
  • Christian Robert, Kerrie L. Mengersen, Carla Chen. Model choice versus model criticism. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2010, 107 (3), pp.E5. ⟨10.1073/pnas.0911260107⟩. ⟨hal-00423847⟩
  • Christian Robert. Comments on: Natural Induction: An Objective Bayesian Approach. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales - Serie A. Matemáticas, Springer, 2009, 103 (1), pp.149-150. ⟨hal-00450729⟩
  • Aude Grelaud, Jean-Michel Marin, Christian Robert. ABC methods for model choice in Gibbs random fields. Comptes Rendus Mathématique, Elsevier Masson, 2009, 347 (3-4), pp.205-210. ⟨10.1016/j.crma.2008.12.009⟩. ⟨hal-00450730⟩
  • Christian Robert, Nicolas Chopin, Judith Rousseau. Harold Jeffreys’s Theory of Probability Revisited. Statistical Science, Institute of Mathematical Statistics (IMS), 2009, 24 (2), pp.141-172. ⟨10.1214/09-STS284⟩. ⟨hal-02403322⟩
  • Christian Robert, Nicolas Chopin, Judith Rousseau. Harold Jeffreys' Theory of Probability revisited: a reply. Statistical Science, Institute of Mathematical Statistics (IMS), 2009, 24 (2), pp.191-194. ⟨10.1214/09-STS284REJ⟩. ⟨hal-00415936⟩
  • Nicolas Chopin, Christian Robert, Judith Rousseau. Harold Jeffreys' Theory of Probability revisited. Statistical Science, Institute of Mathematical Statistics (IMS), 2009, 107 (3), pp.141-172. ⟨10.1214/09-STS284⟩. ⟨hal-00274631⟩
  • Lionel Cucala, Jean-Michel Marin, Christian Robert, Mike Titterington. A Bayesian reassessment of nearest-neighbour classification. Journal of the American Statistical Association, Taylor & Francis, 2009, 104 (485), pp.263-273. ⟨10.1198/jasa.2009.0125⟩. ⟨inria-00143783v4⟩
  • Nicolas Chopin, Christian Robert. Contemplating Evidence: properties, extensions of, and alternatives to Nested Sampling. Biometrika, Oxford University Press (OUP), 2009, 97, pp.755. ⟨10.1093/biomet/asq021⟩. ⟨hal-00216003v2⟩
  • Darren Wraith, Martin Kilbinger, Karim Benabed, Olivier Cappe, Jean-François Cardoso, et al.. Estimation of cosmological parameters using adaptive importance sampling. Physical Review D, American Physical Society, 2009, 80, pp.023507. ⟨10.1103/PhysRevD.80.023507⟩. ⟨hal-00450727⟩
  • Christian Robert, Jean-Michel Marin. On some difficulties with a posterior probability approximation technique. Bayesian Analysis, International Society for Bayesian Analysis, 2008, 3 (2), pp.427-442. ⟨10.1214/08-BA316⟩. ⟨hal-00212326⟩
  • Christian Robert, Andrew Wood. Report of the Editors - 2007. Journal of the Royal Statistical Society: Series B, Royal Statistical Society, 2008, Volume 70 (1), pp.1-2. ⟨10.1111/j.1467-9868.2007.00626.x⟩. ⟨hal-00359614⟩
  • Selima Ben Mansour, Elyès Jouini, Jean-Michel Marin, Clotilde Napp, Christian Robert. Are risk agents more optimistic? A Bayesian estimation approach. Journal of Applied Econometrics, Wiley, 2008, 23 (6), pp.843-860. ⟨10.1002/jae.1027⟩. ⟨hal-00359613⟩
  • Christian Robert. Discussion of "Sure independence screening for ultra-high dimensional feature space" by Fan and Lv.. Journal of the Royal Statistical Society, JSTOR, 2008, 70 (5), pp.901. ⟨hal-00359618⟩
  • Jean-Michel Marin, Christian Robert. Approximating the marginal likelihood in mixture models. Indian Bayesian Society Newsletter, Indian Bayesian Society, 2008, V (1), pp.2-7. ⟨hal-00273475⟩
  • Christian Robert. À propos de l'article de N. Vayatis "Bayésiens contre fréquentistes, un faux débat". La Recherche : l'actualité des sciences, société d'éditions scientifiques, 2008, 424, pp.6. ⟨hal-00359620⟩
  • Jean-Marie Cornuet, Filipe Santos, Marc Beaumont, Christian Robert, Jean-Michel Marin, et al.. Infering population history with DIY ABC: a user-friendly approach to Approximate Bayesian Computation.. Bioinformatics, Oxford University Press (OUP), 2008, 24 (23), pp.2713-2719. ⟨10.1093/bioinformatics/btn514⟩. ⟨hal-00359624⟩
  • Gilles Celeux, Jean-Michel Marin, Christian Robert. Iterated importance sampling in missing data problems. Computational Statistics and Data Analysis, Elsevier, 2006, 50 (12), pp.3386-3404. ⟨inria-00070473⟩
  • Gilles Celeux, Jean-Michel Marin, Christian Robert. Sélection bayésienne de variables en régression linéaire. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2006, 147 (1), pp.59-79. ⟨inria-00077857v2⟩
  • Billy Amzal, Frédéric Y. Bois, Eric Parent, Christian P. Robert. Bayesian-optimal design via interacting particle systems. Journal of the American Statistical Association, Taylor & Francis, 2006, 101 (474), pp.773-785. ⟨10.1198/016214505000001159⟩. ⟨ineris-00963016⟩
  • Olivier Cappé, Arnaud Guillin, Jean-Michel Marin, Christian Robert. Population Monte Carlo. Journal of Computational and Graphical Statistics, Taylor & Francis, 2004, 13 (4), pp.907-929. ⟨hal-01337419⟩

Conference papers4 documents

  • Jean-Michel Marin, Pierre Pudlo, Louis Raynal, Arnaud Estoup, Christian P. Robert. Approximate Bayesian Computation using Random Forest. Validating and Expanding Approximate Bayesian Computation Methods (17w5025), Banff International Research Station for Mathematical Innovation and Discovery (BIRS). MEX., Feb 2017, Banff, Canada. ⟨hal-02786888⟩
  • Pierre Pudlo, Raphaël Leblois, Christian Robert. Empirical likelihood for Bayesian inference in population genetics. Mathematical and Computational Evolutionnary Biology 2012, Jun 2012, Montpellier, France. ⟨hal-02932407⟩
  • Mathilde Bouriga, Olivier Féron, Jean-Michel Marin, Christian Robert. Modélisation bayésienne hiérarchique pour l'estimation de matrice de covariance - Application à la gestion actif-passif de portefeuilles financiers. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494745⟩
  • Billy Amzal, Eric Parent, Frédéric Y. Bois, Christian P. Robert. Optimisation de plans d'expérience par méthodes particulaires. 35. Journées de Statistiques, Jun 2003, Lyon, France. pp.97-100. ⟨ineris-00972424⟩

Books4 documents

  • Sylvia Frühwirth-Schnatter, Gilles Celeux, Christian P. Robert. Handbook of Mixture Analysis. CRC Press, pp.1-536, 2018, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781498763813. ⟨hal-01928103⟩
  • Jean-Michel Marin, Christian Robert. Bayesian essentials with R. Springer Verlag, New York, pp.XIV-296, 2014, Springer Textbooks in Statistics, 978-1-4614-8686-2. ⟨hal-01337395⟩
  • Christian Robert, George Casella. Introducing Monte Carlo Methods with R. Robert Gentleman. Springer Verlag, New York, pp.284, 2009, Use R, John Kimmel, ⟨10.1007/1441915753⟩. ⟨hal-00450502⟩
  • Jean-Michel Marin, Christian Robert. Bayesian Core: A practical approach to computational Bayesian statistics. Springer Verlag, New York, pp.258, 2007, Springer Textbooks in Statistics, ⟨10.1007/978-0-387-38983-7⟩. ⟨hal-00450489⟩

Book sections7 documents

  • Arnaud Estoup, Paul Verdu, Jean-Michel Marin, Christian Robert, Alexandre Dehne Garcia, et al.. Application of ABC to infer the genetic history of Pygmy hunter-gatherer populations from Western Central Africa. Scott A. Sisson; Yanan Fan; Mark Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, 2018, Handbooks of Modern Statistical Methods, 9781439881507. ⟨hal-02410327⟩
  • Arnaud Estoup, Paul Verdu, Jean-Michel Marin, Christian P. Robert, Alexandre Dehne Garcia, et al.. Application of Approximate Bayesian Computation to infer the genetic history of Pygmy hunter-gatherers populations from Western Central Africa. Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, chapter 18, 2018, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781439881507. ⟨hal-02052040⟩
  • Gilles Celeux, Sylvia Frühwirth-Schnatter, Christian Robert. Model Selection for Mixture Models-Perspectives and Strategies. Handbook of Mixture Analysis, CRC Press, 2018. ⟨hal-01961077⟩
  • Christian Robert, Gilles Celeux, Kaniav Kamary, Gertraud Malsiner-Walli, Jean-Michel Marin. Computational Solutions for Bayesian Inference in Mixture Models. Handbook of Mixture Analysis, CRC Press, 2018. ⟨hal-01961038⟩
  • Christian Robert. Approximate Bayesian Computation: A Survey on Recent Results. Ronald Cools; Dirk Nuyens. Monte Carlo and Quasi-Monte Carlo Methods, Springer International Publishing, pp.185-205, 2016, 978-3-319-33505-6. ⟨10.1007/978-3-319-33507-0_7⟩. ⟨hal-01409281⟩
  • Christian Robert, Jean-Michel Marin, Judith Rousseau. Bayesian Inference and computation. D. Balding, M. Stumpf, M. Girolami. Handbook of Statistical Systems Biology, John Wiley, pp.39-65, 2011, 978-0-470-71086-9. ⟨hal-00473021⟩
  • Jean-Michel Marin, Christian Robert. Importance sampling methods for Bayesian discrimination between embedded models. M.-H. Chen, D. Dey, P. Mueller, D. Sun and K. Ye. Frontiers of Statistical Decision Making and Bayesian Analysis, Springer-Verlag, New York, pp.513-527, 2010. ⟨hal-00424475⟩

Preprints, Working Papers, ...44 documents

  • Grégoire Clarté, Christian P. Robert, Robin Ryder, Julien Stoehr. Component-wise approximate Bayesian computation via Gibbs-like steps. 2019. ⟨hal-02274914⟩
  • Christian Robert, Changye Wu, Christian P. Robert. The Coordinate Sampler: A Non-Reversible Gibbs-like MCMC Sampler. 2019. ⟨hal-01968772⟩
  • Christian Robert, Grégoire Clarté, Christian P. Robert, Robin Ryder, Julien Stoehr. Component-wise approximate Bayesian computation via Gibbs-like steps. 2019. ⟨hal-02393277⟩
  • Changye Wu, Julien Stoehr, Christian Robert. Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale. 2019. ⟨hal-01968770⟩
  • Christian Robert, Changye Wu, Christian P. Robert. Average of Recentered Parallel MCMC for Big Data. 2019. ⟨hal-01968782⟩
  • Christian Robert, Christian P. Robert, Judith Rousseau. Some comments about A Bayesian criterion for singular models by M. Drton and M. Plummer. 2019. ⟨hal-01968787⟩
  • Blakeley B. Mcshane, David Gal, Andrew Gelman, Christian Robert, Jennifer L. Tackett. Abandon Statistical Significance. 2019. ⟨hal-01968794⟩
  • Wu Changye, Christian P. Robert. Parallelising MCMC via Random Forests. 2019. ⟨hal-02393276⟩
  • David Frazier, Gael Martin, Christian Robert, Judith Rousseau. Asymptotic Properties of Approximate Bayesian Computation. 2017. ⟨hal-01517556⟩
  • Clara Grazian, Christian Robert. Jeffreys priors for mixture estimation. 2017. ⟨hal-01517565⟩
  • Espen Bernton, Pierre Jacob, Mathieu Gerber, Christian Robert. Inference in generative models using the Wasserstein distance. 2017. ⟨hal-01517550⟩
  • Jeong Eun Lee, Kaniav Kamary, Christian Robert. Weakly informative reparameterisations for location-scale mixtures. 2017. ⟨hal-01517563⟩
  • Christian Robert, Gilles Celeux, Jack Jewson, Julie Josse, Jean-Michel Marin, et al.. Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig. 2017. ⟨hal-01968779⟩
  • Kaniav Kamary, Kerrie Mengersen, Christian Robert, Judith Rousseau. Testing hypotheses via a mixture estimation model . 2017. ⟨hal-01517681⟩
  • Kaniav Kamary, Jeong Eun Lee, Christian Robert. Non-informative reparameterisations for location-scale mixtures. 2016. ⟨hal-01253398⟩
  • Peter Green, Krzysztof Latuszyski, Marcelo Pereyra, Christian Robert. Bayesian computation: a perspective on the current state, and sampling backwards and forwards. 2015. ⟨hal-01113421⟩
  • Marco Banterle, Clara Grazian, Christian P. Robert. Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching. 2014. ⟨hal-01067920⟩
  • Kaniav Kamary, Christian P. Robert. Reflecting about Selecting Noninformative Priors. 2014. ⟨hal-01067924⟩
  • Mohammed Sedki, Jean-Marie Cornuet, Jean-Michel Marin, Pierre Pudlo, Christian P. Robert. Efficient learning in ABC algorithms. 2012. ⟨hal-00741572⟩
  • Christophe Andrieu, Simon Barthelme, Nicolas Chopin, Julien Cornebise, Arnaud Doucet, et al.. Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation". 2012. ⟨hal-00658084⟩
  • Jean-Michel Marin, Natesh Pillai, Christian Robert, Judith Rousseau. Evaluating statistic appropriateness for Bayesian model choice. 2011. ⟨hal-00641487⟩
  • Christian Robert. Simulation in Statistics. 2011. ⟨hal-00596299⟩
  • Christian Robert. First moments of the truncated and absolute Student's variates. 2011. ⟨hal-00656867⟩
  • Christian Robert, George Casella. Introducing Monte Carlo Methods with R Solutions to Odd-Numbered Exercises. 2010. ⟨hal-00450405⟩
  • Christian Robert, Judith Rousseau. On Bayesian Data Analysis. 2010. ⟨hal-00450404⟩
  • Andrew Gelman, Christian Robert. "Not only defended but also applied": A look back at Feller's take on Bayesian inference. 2010. ⟨hal-00596302⟩
  • Simon Barthelme, Magali Beffy, Nicolas Chopin, Arnaud Doucet, Pierre Jacob, et al.. Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods". 2010. ⟨hal-00596301⟩
  • Nicolas Chopin, Alessandra Iacobucci, Jean-Michel Marin, Kerrie Mengersen, Christian Robert, et al.. On Particle Learning. 2010. ⟨hal-00494357⟩
  • Christian Robert, Jean-Michel Marin. On computational tools for Bayesian data analysis. 2010. ⟨hal-00473020⟩
  • Christian Robert. About incoherent inference. 2010. ⟨hal-00494358⟩
  • Christian Robert, Kerrie L. Mengersen. Exact Bayesian Analysis of Mixtures. 2010. ⟨hal-00567241⟩
  • Christian Robert. Bayesian computational methods. 2010. ⟨hal-00473019⟩
  • Pierre Jacob, Nicolas Chopin, Christian Robert, Havard Rue. Comments on "Particle Markov chain Monte Carlo" by C. Andrieu, A. Doucet, and R. Hollenstein. 2009. ⟨hal-00431307⟩
  • Christian Robert, Jean-Michel Marin. Bayesian Core: The Complete Solution Manual. 2009. ⟨hal-00431308⟩
  • Christian Robert, D. Wraith. Computational methods for Bayesian model choice. 2009. ⟨hal-00408203⟩
  • Christian Robert. Monte Carlo Methods in Statistics. 2009. ⟨hal-00415940⟩
  • Christian Robert. On the relevance of the Bayesian approach to Statistics. 2009. ⟨hal-00421003⟩
  • Martin Kilbinger, Darren Wraith, Christian Robert, Karim Benabed, Olivier Cappe, et al.. Bayesian model comparison in cosmology with Population Monte Carlo. 2009. ⟨hal-00441161⟩
  • Christian Robert. Simulation of truncated normal variables. 2009. ⟨hal-00431310⟩
  • Christian Robert. Monte Carlo Methods in Statistics. 2009. ⟨hal-00412639⟩
  • Darren Wraith, Martin Kilbinger, Karim Benabed, Olivier Cappé, Jean-François Cardoso, et al.. Estimation of cosmological parameters using adaptive importance sampling. 2009. ⟨hal-00365944⟩
  • James P. Hobert, Vivekananda Roy, Christian Robert. Improving the Convergence Properties of the Data Augmentation Algorithm with an Application to Bayesian Mixture Modelling. 2009. ⟨hal-00436551⟩
  • Christian Robert, George Casella. A History of Markov Chain Monte Carlo--Subjective Recollections from Incomplete Data--. 2008. ⟨hal-00311793⟩
  • Yves Atchade, Nicolas Lartillot, Christian Robert. Bayesian computation for statistical models with intractable normalizing constants. 2008. ⟨hal-00274615⟩

Reports5 documents

  • Christian Robert. Book Reviews, Summer 2013. 2013. ⟨hal-00780471⟩
  • Christian Robert. Des spécificités de l'approche bayésienne et de ses justifications en statistique inférentielle. 2013. ⟨hal-00870124⟩
  • Jean-Louis Foulley, Andrew Gelman, Xiao-Li Meng, William Strawderman, Larry Wasserman, et al.. Book reviews, Spring 2013 . Special issue on George Casella's books. 2012. ⟨hal-00762823⟩
  • Christian Robert. Principles of Uncertainty, by J.B. Kadane: A review. 2012. ⟨hal-00659915⟩
  • Sophie Donnet, Christian Robert. Book reviews, Winter 2012. 2012. ⟨hal-00731510⟩