Accéder directement au contenu

Christian Robert

34
Documents

Présentation

Publications

"jean-michel-marin"

ABC random forests for Bayesian parameter inference

Louis Raynal , Jean-Michel Marin , Pierre Pudlo , Mathieu Ribatet , Christian Robert
Bioinformatics, 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩
Article dans une revue hal-01337189v2

Reliable ABC model choice via random forests

Pierre Pudlo , Jean-Michel Marin , Arnaud Estoup , Jean-Marie Cornuet , Mathieu Gautier
Bioinformatics, 2016, 32 (6), pp.859 - 866. ⟨10.1093/bioinformatics/btv684⟩
Article dans une revue hal-01067925v1

Relevant statistics for Bayesian model choice

Jean-Michel Marin , Natesh S. Pillai , Christian P. Robert , Judith Rousseau
Journal of the Royal Statistical Society: Series B, 2014, 76 (5), pp.1-25. ⟨10.1111/rssb.12056⟩
Article dans une revue hal-01067901v1

Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics.

Arnaud Estoup , Eric Lombaert , Jean-Michel Marin , Thomas Guillemaud , Pierre Pudlo
Molecular Ecology Resources, 2012, 12 (5), pp.846-55. ⟨10.1111/j.1755-0998.2012.03153.x⟩
Article dans une revue hal-00796906v1

Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation

Gilles Celeux , Mohammed El Anbari , Jean-Michel Marin , Christian Robert
Bayesian Analysis, 2012, 7 (2), pp.477-502. ⟨10.1214/12-BA716⟩
Article dans une revue hal-00943727v1

Approximate Bayesian computational methods

Jean-Michel Marin , Pierre Pudlo , Christian P. Robert , Robin Ryder
Statistics and Computing, 2012, 22 (6), ⟨10.1007/s11222-011-9288-2⟩
Article dans une revue hal-00567240v2

Adaptive Multiple Importance Sampling

Jean-Marie Cornuet , Jean-Michel Marin , Antonietta Mira , Christian Robert
Scandinavian Journal of Statistics, 2012, 39 (4), pp.798-812. ⟨10.1111/j.1467-9469.2011.00756.x⟩
Article dans une revue hal-00403248v1

On resolving the Savage–Dickey paradox

Jean-Michel Marin , Christian P. Robert
Electronic Journal of Statistics , 2010, 4, pp.643-654. ⟨10.1214/10-EJS564⟩
Article dans une revue hal-00423846v1

ABC methods for model choice in Gibbs random fields

Aude Grelaud , Christian Robert , Jean-Michel Marin
Comptes Rendus. Mathématique, 2009, 347 (3-4), pp.205-210. ⟨10.1016/j.crma.2008.12.009⟩
Article dans une revue hal-00450730v1
Image document

A Bayesian reassessment of nearest-neighbour classification

Lionel Cucala , Jean-Michel Marin , Christian Robert , Mike Titterington
Journal of the American Statistical Association, 2009, 104 (485), pp.263-273. ⟨10.1198/jasa.2009.0125⟩
Article dans une revue inria-00143783v4
Image document

Approximating the marginal likelihood in mixture models

Jean-Michel Marin , Christian Robert
Indian Bayesian Society Newsletter, 2008, V (1), pp.2-7
Article dans une revue hal-00273475v1

Infering population history with DIY ABC: a user-friendly approach to Approximate Bayesian Computation.

Jean-Marie Cornuet , Filipe Santos , Marc A. Beaumont , Christian Robert , Jean-Michel Marin
Bioinformatics, 2008, 24 (23), pp.2713-2719. ⟨10.1093/bioinformatics/btn514⟩
Article dans une revue hal-00359624v1

Convergence of adaptive mixtures of importance sampling schemes

Randal Douc , A. Guillin , Jean-Michel Marin , C. P. Robert
Statistics and Computing, 2008, 18,, pp.447-459
Article dans une revue hal-00432955v1
Image document

On some difficulties with a posterior probability approximation technique

Christian Robert , Jean-Michel Marin
Bayesian Analysis, 2008, 3 (2), pp.427-442. ⟨10.1214/08-BA316⟩
Article dans une revue hal-00212326v1

Are risk agents more optimistic? A Bayesian estimation approach

Selima Ben Mansour , Elyès Jouini , Jean-Michel Marin , Clotilde Napp , Christian Robert
Journal of Applied Econometrics, 2008, 23 (6), pp.843-860. ⟨10.1002/jae.1027⟩
Article dans une revue hal-00359613v1
Image document

Iterated importance sampling in missing data problems

Gilles Celeux , Jean-Michel Marin , Christian Robert
Computational Statistics and Data Analysis, 2006, 50 (12), pp.3386-3404
Article dans une revue inria-00070473v1
Image document

Sélection bayésienne de variables en régression linéaire

Gilles Celeux , Jean-Michel Marin , Christian Robert
Journal de la Société Française de Statistique, 2006, 147 (1), pp.59-79
Article dans une revue inria-00077857v2

Population Monte Carlo

Olivier Cappé , Arnaud Guillin , Jean-Michel Marin , Christian Robert
Journal of Computational and Graphical Statistics, 2004, 13 (4), pp.907-929
Article dans une revue hal-01337419v1

Approximate Bayesian Computation using Random Forest

Jean-Michel Marin , Pierre Pudlo , Louis Raynal , Arnaud A Estoup , Christian P. Robert
Validating and Expanding Approximate Bayesian Computation Methods (17w5025), Banff International Research Station for Mathematical Innovation and Discovery (BIRS). MEX., Feb 2017, Banff, Canada
Communication dans un congrès hal-02786888v1
Image document

Modélisation bayésienne hiérarchique pour l'estimation de matrice de covariance - Application à la gestion actif-passif de portefeuilles financiers

Mathilde Bouriga , Olivier Féron , Jean-Michel Marin , Christian Robert
42èmes Journées de Statistique, 2010, Marseille, France, France
Communication dans un congrès inria-00494745v1

Bayesian essentials with R

Jean-Michel Marin , Christian Robert
Springer Verlag, New York, pp.XIV-296, 2014, Springer Textbooks in Statistics, 978-1-4614-8686-2
Ouvrages hal-01337395v1

Bayesian Core: A practical approach to computational Bayesian statistics

Jean-Michel Marin , Christian Robert
Springer Verlag, New York, pp.258, 2007, Springer Textbooks in Statistics, ⟨10.1007/978-0-387-38983-7⟩
Ouvrages hal-00450489v1

Application of ABC to Infer the Genetic History of Pygmy Hunter-Gatherer Populations from Western Central Africa

Arnaud A Estoup , Paul Verdu , Jean-Michel Marin , Christian Robert , Alexandre Dehne Garcia
Scott A. Sisson; Yanan Fan; Mark A. Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall, Chapter 18, 2019, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781439881507
Chapitre d'ouvrage hal-02787321v1

Computational Solutions for Bayesian Inference in Mixture Models

Christian Robert , Gilles Celeux , Kaniav Kamary , Gertraud Malsiner-Walli , Jean-Michel Marin
Handbook of Mixture Analysis, CRC Press, 2018
Chapitre d'ouvrage hal-01961038v1

Bayesian Inference and computation

Christian Robert , Jean-Michel Marin , Judith Rousseau
D. Balding, M. Stumpf, M. Girolami. Handbook of Statistical Systems Biology, John Wiley, pp.39-65, 2011, 978-0-470-71086-9
Chapitre d'ouvrage hal-00473021v1

Importance sampling methods for Bayesian discrimination between embedded models

Jean-Michel Marin , Christian Robert
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
Chapitre d'ouvrage hal-00424475v1

Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig

Christian Robert , Gilles Celeux , Jack Jewson , Julie Josse , Jean-Michel Marin
2017
Pré-publication, Document de travail hal-01968779v1

Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"

Christophe Andrieu , Simon Barthelme , Nicolas Chopin , Julien Cornebise , Arnaud Doucet
2012
Pré-publication, Document de travail hal-00658084v1

Efficient learning in ABC algorithms

Mohammed Sedki , Jean-Marie Cornuet , Jean-Michel Marin , Pierre Pudlo , Christian P. Robert
2012
Pré-publication, Document de travail hal-00741572v1
Image document

Evaluating statistic appropriateness for Bayesian model choice

Jean-Michel Marin , Natesh Pillai , Christian Robert , Judith Rousseau
2011
Pré-publication, Document de travail hal-00641487v1

On computational tools for Bayesian data analysis

Christian Robert , Jean-Michel Marin
2010
Pré-publication, Document de travail hal-00473020v1

Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods"

Simon Barthelme , Magali Beffy , Nicolas Chopin , Arnaud Doucet , Pierre Jacob
2010
Pré-publication, Document de travail hal-00596301v1

On Particle Learning

Nicolas Chopin , Alessandra Iacobucci , Jean-Michel Marin , Kerrie Mengersen , Christian Robert
2010
Pré-publication, Document de travail hal-00494357v1

Bayesian Core: The Complete Solution Manual

Christian Robert , Jean-Michel Marin
2009
Pré-publication, Document de travail hal-00431308v1