Jean-Michel Marin

81
Documents

Publications

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-04696535 v1
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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-04179331 v1
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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-03229207 v1
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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-02953927 v1

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-01337195 v1
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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-01337189 v2
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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-01744469 v1
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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-01582586 v1

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-01067925 v1

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-01067901 v1

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-01337243 v1

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-01097166 v1

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-00793844 v1

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-00567240 v2

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-00638728 v1

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-00403248 v1

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-01338204 v1

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-00943727 v1

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-00796906 v1

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-00658539 v1

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-00638735 v1

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-00423846 v1
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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-00260141 v1
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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-00176636 v3

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-00450730 v1
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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-00143783 v4
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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-00660474 v1
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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-00138007 v3
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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
Article dans une revue halshs-00176629 v2

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-00359624 v1

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-00432955 v1
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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-00180669 v4
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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-00273475 v1

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-00359613 v1
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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-00212326 v1
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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-00070571 v1
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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-00138008 v2
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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-00077906 v2
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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-00070522 v1
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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-00070316 v1
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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-00070473 v1
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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-00077857 v2

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-01337419 v1

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-01337418 v1

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-01337417 v1
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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-03796420 v1

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-01968779 v1
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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-01399612 v1

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-00658084 v1

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-00741572 v1

Estimation of rare events probabilities in computer experiments

Yves Auffray , Pierre Barbillon , Jean-Michel Marin
2011
Pré-publication, Document de travail inria-00638696 v1
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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-00641487 v1

On computational tools for Bayesian data analysis

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

On Particle Learning

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

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-00596301 v1

Bayesian Core: The Complete Solution Manual

Christian Robert , Jean-Michel Marin
2009
Pré-publication, Document de travail hal-00431308 v1
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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-00260507 v1
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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-00163678 v1
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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-04179269 v1
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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-03189306 v1
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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-02068254 v1
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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 (FR), France.
Poster de conférence hal-04207225 v1
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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-02787307 v1
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Detecting past contraction in population size using haplotype homozygosity

C Merle , Jean-Michel Marin , F. Rousset , Raphaël Leblois
Mathematical and Computational Evolutionnary Biology 2016, Jun 2016, Montpellier, France.
Poster de conférence hal-02932275 v1
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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-03385869 v1
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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-02910067 v2

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-02786888 v1
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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-02068289 v1

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-02932426 v1

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-01587031 v1
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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-00494745 v1
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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-00386634 v1
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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-00386663 v1

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-00163619 v1

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-02787321 v1

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-01961038 v1

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-00473021 v1

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-00424475 v1

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-01337395 v1

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-00450489 v1