Jean-Michel Marin

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Publications

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TFscope: systematic analysis of the sequence features involved in the binding preferences of transcription factors

Raphaël Romero , Christophe Menichelli , Christophe Vroland , Jean-Michel Marin , Sophie Lèbre et al.

Genome Biology, 2024, 25 (1), pp.187. ⟨10.1186/s13059-024-03321-8⟩

Article dans une revue lirmm-04696535v1
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Joint inference of adaptive and demographic history from temporal population genomic data

Vitor A. C. Pavinato , Stéphane de Mita , Jean-Michel Marin , Miguel de Navascués

Peer Community Journal, 2022, 2, pp.e78. ⟨10.24072/pcjournal.203⟩

Article dans une revue hal-04179331v1
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Extending Approximate Bayesian Computation with Supervised Machine Learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

François‐david Collin , Ghislain Durif , Louis Raynal , Eric Lombaert , Mathieu Gautier et al.

Molecular Ecology Resources, 2021, 21 (8), pp.2598-2613. ⟨10.1111/1755-0998.13413⟩

Article dans une revue hal-03229207v1
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A young age of subspecific divergence in the desert locust inferred by ABC random forest

Marie-Pierre Chapuis , Louis Raynal , Christophe Plantamp , Christine N. Meynard , Laurence Blondin et al.

Molecular Ecology, 2020, Peer Community in Evolutionary Biology, 29 (23), pp.4542-4558. ⟨10.1111/mec.15663⟩

Article dans une revue hal-02953927v1

Consistency of the Adaptive Multiple Importance Sampling

Jean-Michel Marin , Pierre Pudlo , Mohammed Sedki

Bernoulli, 2019, 25 (3), pp.1977-1998. ⟨10.3150/18-BEJ1042⟩

Article dans une revue hal-01337195v1
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ABC random forests for Bayesian parameter inference

Louis Raynal , Jean-Michel Marin , Pierre Pudlo , Mathieu Ribatet , Christian Robert et al.

Bioinformatics, 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩

Article dans une revue hal-01337189v2
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Probing instructions for expression regulation in gene nucleotide compositions

Chloé Bessière , May Taha , Florent Petitprez , Jimmy Vandel , Jean-Michel Marin et al.

PLoS Computational Biology, 2018, 14 (1), pp.e1005921. ⟨10.1371/journal.pcbi.1005921⟩

Article dans une revue lirmm-01744469v1
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Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest.

Antoine Fraimout , Vincent Debat , Simon Fellous , Ruth A Hufbauer , Julien Foucaud et al.

Molecular Biology and Evolution, 2017, 34 (4), pp.980 - 996. ⟨10.1093/molbev/msx050⟩

Article dans une revue hal-01582586v1

Reliable ABC model choice via random forests

Pierre Pudlo , Jean-Michel Marin , Arnaud Estoup , Jean-Marie Cornuet , Mathieu Gautier et al.

Bioinformatics, 2016, 32 (6), pp.859 - 866. ⟨10.1093/bioinformatics/btv684⟩

Article dans une revue hal-01067925v1
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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.833-859. ⟨10.1111/rssb.12056⟩

Article dans une revue hal-01067901v1

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.

Jean-Marie Cornuet , Pierre Pudlo , Julien Veyssier , Alexandre Dehne-Garcia , Mathieu Gautier et al.

Bioinformatics, 2014, 30 (8), pp.1187-1189. ⟨10.1093/bioinformatics/btt763⟩

Article dans une revue hal-01337243v1

Bounding rare event probabilities in computer experiments

Yves Auffray , Pierre Barbillon , Jean-Michel Marin

Computational Statistics and Data Analysis, 2014, 80, pp.153-166. ⟨10.1016/j.csda.2014.06.023⟩

Article dans une revue hal-01097166v1

Bayesian Inference on a Mixture Model With Spatial Dependence

Lionel Cucala , Jean-Michel Marin

Journal of Computational and Graphical Statistics, 2013, 22 (3), ⟨10.1080/10618600.2013.805652⟩

Article dans une revue hal-00793844v1

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

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 et al.

Molecular Ecology Resources, 2012, 12 (5), pp.846-55. ⟨10.1111/j.1755-0998.2012.03153.x⟩

Article dans une revue istex hal-00796906v1

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

Unraveling cell type-specific and reprogrammable human replication origin signatures associated with G-quadruplex consensus motifs

Emilie Besnard , Amélie Babled , Laure Lapasset , Ollivier Milhavet , Hugues Parrinello et al.

Nature Structural and Molecular Biology, 2012, 19 (8), pp.837-844. ⟨10.1038/nsmb.2339⟩

Article dans une revue istex hal-01338204v1

Maximin Design on non-hypercube domain and Kernel Interpolation

Yves Auffray , Pierre Barbillon , Jean-Michel Marin

Statistics and Computing, 2012, 22 (3), pp.703-712. ⟨10.1007/s11222-011-9273-9⟩

Article dans une revue istex inria-00638728v1

Modèles réduits à partir d'expérience numériques

Yves Auffray , Pierre Barbillon , Jean-Michel Marin

Journal de la Société Française de Statistique, 2011, 152 (1), pp.89-102

Article dans une revue inria-00638735v1

An empirical Bayes procedure for the selection of Gaussian graphical models

Sophie Donnet , Jean-Michel Marin

Statistics and Computing, 2011, 22 (5), pp.1113-1123. ⟨10.1007/s11222-011-9285-5⟩

Article dans une revue hal-00658539v1

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
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On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation

Alessandra Iacobucci , Jean-Michel Marin , Christian P. Robert

Computational Statistics and Data Analysis, 2010, 54 (3), pp.698-710. ⟨10.1016/j.csda.2008.09.020⟩

Article dans une revue inria-00260141v1
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Discounting and Divergence of Opinion

Elyès Jouini , Jean-Michel Marin , Clotilde Napp

Journal of Economic Theory, 2010, 145, pp.830-859

Article dans une revue halshs-00176636v3
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Online data processing: comparison of Bayesian regularized particle filters

Roberto Casarin , Jean-Michel Marin

Electronic Journal of Statistics , 2009, 3, pp.239-258. ⟨10.1214/08-EJS256⟩

Article dans une revue inria-00138007v3

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 istex hal-00450730v1
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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
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ABC likelihood-free methods for model choice in Gibbs random fields

Aude Grelaud , Christian P. Robert , Jean-Michel Marin , Francois Rodolphe , Jean-Francois Taly

Bayesian Analysis, 2009, 4 (2), pp.317-336. ⟨10.1214/09-BA412⟩

Article dans une revue hal-00660474v1
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Are Risk Averse Agents More Optimistic? A Bayesian Estimation Approach

Elyès Jouini , Selima Ben Mansour , Clotilde Napp , Jean-Michel Marin , Christian P. Robert

Journal of Applied Econometrics, 2008, pp.843-860. ⟨10.2139/ssrn.1000199⟩

Article dans une revue halshs-00176629v2

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 et al.

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
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Adaptive Importance Sampling in General Mixture Classes

Olivier Cappé , Randal Douc , Arnaud Guillin , Jean-Michel Marin , Christian P. Robert

Statistics and Computing, 2008, 18 (4), pp.447-459. ⟨10.1007/s11222-008-9059-x⟩

Article dans une revue hal-00180669v4
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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

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 istex hal-00359613v1
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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
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Brownian Confidence Bands on Monte Carlo Output

W.S. Kendall , Jean-Michel Marin , C.P. Robert

Statistics and Computing, 2007, 17 (1), pp.1-10

Article dans une revue inria-00070571v1
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Initiation à R

Romain François , Jean-Michel Marin

La revue MODULAD, 2007, 37, pp.83-101

Article dans une revue inria-00138008v2
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Convergence of adaptive sampling schemes

R. Douc , A. Guillin , Jean-Michel Marin , C.P. Robert

Annals of Statistics, 2007, 35 (1), pp.420-448

Article dans une revue inria-00070522v1
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Equivariant HPD credible sets and MAP estimators

Pierre Druilhet , Jean-Michel Marin

Bayesian Analysis, 2007, 2 (4), pp.681-692

Article dans une revue inria-00077906v2
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Minimum variance importance sampling via Population Monte Carlo

R. Douc , A. Guillin , Jean-Michel Marin , C.P. Robert

ESAIM: Probability and Statistics, 2007, 11, pp.427-447

Article dans une revue inria-00070316v1
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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
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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

Optimal quadratic unbiased estimation for models with linear Toeplitz covariance structure

Jean-Michel Marin , Thierry Dhorne

Statistics, 2003, 37 (2), pp.85-99

Article dans une revue hal-01337418v1

Linear Toeplitz covariance structure models with optimal estimators of variance components

Jean-Michel Marin , Thierry Dhorne

Linear Algebra and its Applications, 2002, 354 (1-3), pp.195-212

Article dans une revue hal-01337417v1
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A systematic analysis of the genomic features involved in specificities of transcription factor binding

Raphaël Romero , Christophe Menichelli , Jean-Michel Marin , Sophie Lèbre , Charles-Henri Lecellier et al.

JOBIM 2021 - 21es Journées Ouvertes de Biologie, Informatique et Mathématiques, Jul 2021, Paris, France. ⟨10.1101/2022.08.16.504098⟩

Communication dans un congrès hal-03385869v1
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Bringing ABC inference to the machine learning realm : AbcRanger, an optimized random forests library for ABC

François-David Collin , Arnaud Estoup , Jean-Michel Marin , Louis Raynal

JOBIM 2020, Jun 2020, Montpellier, France

Communication dans un congrès hal-02910067v2

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
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Modélisation de l'expression des gènes à partir de données de séquence ADN

May Taha , Chloé Bessière , Florent Petitprez , Jimmy Vandel , Jean-Michel Marin et al.

JdS 2017, 49èmes Journées de Statistique de la SFdS, May 2017, Avignon, France

Communication dans un congrès hal-02068289v1

Detecting past contraction in population size using runs of homozygosity

Coralie Merle , Raphaël Leblois , Jean-Michel Marin , François Rousset

48èmes Journées de Statistique de la SFdS, May 2016, Montpellier, France

Communication dans un congrès hal-02932426v1

Bounding rare event probabilities in computer experiments

Pierre Barbillon , Yves Auffray , Jean-Michel Marin

Uncertainty in computer models 2012 Conference, Jul 2012, Sheffield, United Kingdom

Communication dans un congrès hal-01587031v1
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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
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Choix de modèle pour les champs de Gibbs par un algorithme ABC.

Aude Grelaud , Christian P. Robert , Jean-Michel Marin , Francois Rodolphe , Jean-François Taly

41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France

Communication dans un congrès inria-00386634v1
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Contribution à la théorie des noyaux conditionnellement définis positifs et applications

Yves Auffray , Pierre Barbillon , Jean-Michel Marin

41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France

Communication dans un congrès inria-00386663v1

Are risk averse agents more optimistic ?

Selima Benmansour , Elyès Jouini , Jean-Michel Marin , Clotilde Napp , Christian P. Robert

EGRIE, 2006, Barcelone, Spain

Communication dans un congrès halshs-00163619v1
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Joint inference of demography and selection from temporal population genomic data via approximate Bayesian computation

Vitor Antonio Correa Pavinato , Stéphane de Mita , Jean-Michel Marin , Miguel Navascués

Cold Spring Harbor meeting: Probabilistic Modeling in Genomics (Virtual), Apr 2021, Virtual, United States. ⟨10.6084/m9.figshare.23943312⟩

Poster de conférence hal-04179269v1
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Joint inference of effective population size and genetic load from temporal population genomic data

Vitor A.C. Pavinato , Stéphane de Mita , Jean-Michel Marin , Miguel Navascués

Ancient Biomolecules of Plants, Animals, and Microbes 2021, Mar 2021, Virtual, United Kingdom. ⟨10.6084/m9.figshare.23943828⟩

Poster de conférence hal-03189306v1
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Using positional information for predicting transcription factor binding sites

Raphaël Romero , Christophe Menichelli , Jean-Michel Marin , Sophie Lèbre , Charles-Henri Lecellier et al.

SMPGD 2019 - Workshop on Statistical Methods for Post Genomic Data, Jan 2019, Barcelone, Spain.

Poster de conférence hal-02068254v1
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AbcRanger, A fast and scalable random forest library for ABC model choice and parameter estimation

F.-D. Collin , A Estoup , Jean-Michel Marin , Louis Raynal

JCAD 2019, Oct 2019, Toulouse, France.

Poster de conférence hal-04207225v1
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Detection of loci under selection from temporal population genomic data through ABC random forest

Vitor Pavinato , Jean-Michel Marin , Miguel Navascués

7. journées scientifiques du LabEx NUMEV, Nov 2018, Montpellier, France. , 2018

Poster de conférence hal-02787307v1
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Detecting past contraction in population size using haplotype homozygosity

Coralie Merle , Jean-Michel Marin , F. Rousset , Raphaël Leblois

Mathematical and Computational Evolutionnary Biology 2016, Jun 2016, Montpellier, France.

Poster de conférence hal-02932275v1

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 et al.

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
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Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation

Paul Bastide , Arnaud Estoup , Jean-Michel Marin , Julien Stoehr

2025

Pré-publication, Document de travail hal-05344266v1
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Goodness of Fit for Bayesian Generative Models with Applications in Population Genetics

Guillaume Le Mailloux , Paul Bastide , Jean-Michel Marin , Arnaud Estoup

2025

Pré-publication, Document de travail hal-05344254v1

A new iterative framework for simulation-based population genetic inference with improved coverage properties of confidence intervals

François Rousset , Raphaël Leblois , Arnaud Estoup , Jean-Michel Marin

2025

Pré-publication, Document de travail hal-05370937v1
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Systematic analysis of the genomic features involved in the binding preferences of transcription factors

Raphaël Romero , Christophe Menichelli , Jean-Michel Marin , Sophie Lèbre , Charles-Henri Lecellier et al.

2022

Pré-publication, Document de travail hal-03796420v1

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 et al.

2017

Pré-publication, Document de travail hal-01968779v1
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A fully objective Bayesian approach for the Behrens-Fisher problem using historical studies

Antoine Barbieri , Jean-Michel Marin , Karine Florin

2016

Pré-publication, Document de travail hal-01399612v1
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Bounding rare event probabilities in computer experiments

Yves Auffray , Pierre Barbillon , Jean-Michel Marin

2011

Pré-publication, Document de travail inria-00638696v1

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

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 et al.

2012

Pré-publication, Document de travail hal-00658084v1
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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

On Particle Learning

Nicolas Chopin , Alessandra Iacobucci , Jean-Michel Marin , Kerrie Mengersen , Christian Robert et al.

2010

Pré-publication, Document de travail hal-00494357v1

Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods

Simon Barthelme , Magali Beffy , Nicolas Chopin , Arnaud Doucet , Pierre Jacob et al.

2010

Pré-publication, Document de travail hal-00596301v1

Bayesian Core: The Complete Solution Manual

Christian Robert , Jean-Michel Marin

2009

Pré-publication, Document de travail hal-00431308v1
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On some difficulties with a posterior probability approximation technique

Christian P. Robert , Jean-Michel Marin

2008

Pré-publication, Document de travail inria-00260507v1
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Are risk averse agents more optimistic? A Bayesian estimation approach

Selima Benmansour , Elyès Jouini , Clotilde Napp , Jean-Michel Marin , Christian P. Robert

2007

Pré-publication, Document de travail halshs-00163678v1