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Jean-Michel Marin
Jean-Michel Marin
Professor of Statistics, University of Montpellier
Verified email at umontpellier.fr - Homepage
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Cited by
Year
DIYABC v2. 0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data
JM Cornuet, P Pudlo, J Veyssier, A Dehne-Garcia, M Gautier, R Leblois, ...
Bioinformatics 30 (8), 1187-1189, 2014
11212014
Approximate Bayesian computational methods
JM Marin, P Pudlo, CP Robert, RJ Ryder
Statistics and computing 22 (6), 1167-1180, 2012
10292012
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
8422008
Adaptive approximate Bayesian computation
MA Beaumont, JM Cornuet, JM Marin, CP Robert
Biometrika 96 (4), 983-990, 2009
8272009
Bayesian core: a practical approach to computational Bayesian statistics
JM Marin
Springer, 2007
6222007
Bayesian modelling and inference on mixtures of distributions
JM Marin, K Mengersen, CP Robert
Handbook of statistics 25, 459-507, 2005
6222005
Population monte carlo
O Cappé, A Guillin, JM Marin, CP Robert
Journal of Computational and Graphical Statistics, 2004
6142004
Unraveling cell type–specific and reprogrammable human replication origin signatures associated with G-quadruplex consensus motifs
E Besnard, A Babled, L Lapasset, O Milhavet, H Parrinello, C Dantec, ...
Nature structural & molecular biology 19 (8), 837-844, 2012
4952012
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
4432011
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
4222016
Adaptive importance sampling in general mixture classes
O Cappé, R Douc, A Guillin, JM Marin, CP Robert
Statistics and Computing 18, 447-459, 2008
3722008
Adaptive multiple importance sampling
JM CORNUET, JM MARIN, A Mira, CP Robert
Scandinavian Journal of Statistics 39 (4), 798-812, 2012
3212012
ABC random forests for Bayesian parameter inference
L Raynal, JM Marin, P Pudlo, M Ribatet, CP Robert, A Estoup
Bioinformatics 35 (10), 1720-1728, 2019
2222019
ABC likelihood-free methods for model choice in Gibbs random fields
A Grelaud, JM Marin, CP Robert, F Rodolphe, JF Taly
222*2009
Convergence of adaptive mixtures of importance sampling schemes
R Douc, A Guillin, JM Marin, CP Robert
1872007
Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest
A Fraimout, V Debat, S Fellous, RA Hufbauer, J Foucaud, P Pudlo, ...
Molecular biology and evolution 34 (4), 980-996, 2017
1802017
Relevant statistics for Bayesian model choice
JM Marin, NS Pillai, CP Robert, J Rousseau
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014
1672014
Estimation of demo‐genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics
A Estoup, E Lombaert, JM MARIN, T Guillemaud, P Pudlo, CP Robert, ...
Molecular ecology resources 12 (5), 846-855, 2012
1342012
Bayesian essentials with R
JM Marin, CP Robert
Springer, 2014
1262014
Minimum variance importance sampling via population Monte Carlo
R Douc, A Guillin, JM Marin, CP Robert
ESAIM: Probability and Statistics 11, 427-447, 2007
1212007
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