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	Pour les 46 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Elicitation of Experts' Knowledge for Functional Linear Regression - Paul-Marie Grollemund , Christophe Abraham , Meïli Baragatti , - Pierre Pudlo 2018 ISBA World Meeting, Jun 2018, Edinburgh, United Kingdom. 1 p., 2018, ⟨10.13140/RG.2.2.14618.54728⟩ Poster de conférence hal-02788256v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Large deviations and full Edgeworth expansions for finite Markov chains with applications to the analysis of genomic sequences Pierre Pudlo ESAIM: Probability and Statistics, 2010, 14, pp.435-455. ⟨10.1051/ps/2009008⟩ Article dans une revue hal-00796643v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Consistency of the Adaptive Multiple Importance Sampling Jean-Michel Marin , Pierre Pudlo , Mohammed Sedki Bernoulli, 2019, ⟨10.3150/18-BEJ1042⟩ Article dans une revue hal-01337195v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Estimations précises de grandes déviations et applications à la statistique des séquences biologiques Pierre Pudlo Sciences du Vivant [q-bio]. Université Claude Bernard - Lyon I, 2004. Français. ⟨NNT : ⟩ Thèse tel-00008517v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An overview on approximate bayesian computation Meïli Baragatti , Pierre Pudlo Journées MAS 2012, Université Clermont Auvergne (UCA). FRA., Aug 2012, Clermont-Ferrand, France. 9 p Communication dans un congrès hal-02804673v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Bayesian computation via empirical likelihood. Kerrie L Mengersen , Pierre Pudlo , Christian Robert Proceedings of the National Academy of Sciences of the United States of America, 2013, 110 (4), pp.1321-1326. ⟨10.1073/pnas.1208827110⟩ Article dans une revue hal-00796976v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Simulation of stochastic models of structured population in population genetics under neutrality Pierre Pudlo , Mohammed Sedki Journal of the Sfds, 2018, 159 (3), pp.126-141 Article dans une revue hal-02024303v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The Normalized Graph Cut and Cheeger Constant: from Discrete to Continuous Ery Arias-Castro , Bruno Pelletier , Pierre Pudlo Advances in Applied Probability, 2012, 44 (4), pp.907-937. ⟨10.1239/aap/1354716583⟩ Article dans une revue hal-00473264v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Resampling : an improvement in varying population size models Coralie Merle , Raphaël Leblois , Pierre Pudlo Mathematical and Computational Evolutionnary Biology 2015, Jun 2015, Porquerolles, France. , 2015 Poster de conférence hal-02932290v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Bayesian Functional Linear Regression with Informative Prior Distribution Paul-Marie Grollemund , Christophe Abraham , Meïli Baragatti , Pierre Pudlo 49. Journées de Statistique de la SFdS, May 2017, Avignon, France. 2017 Poster de conférence hal-01974607v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An overview on approximate bayesian computation Meïli Baragatti , Pierre Pudlo ESAIM: Proceedings, 2014, 44, pp.291-299. ⟨10.1051/proc/201444018⟩ Article dans une revue hal-01593904v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Constraining the recent star formation history of galaxies: an approximate Bayesian computation approach Grégoire Aufort , Laure Ciesla , Pierre Pudlo , Véronique Buat Astronomy and Astrophysics - A&A, 2020, 635, pp.A136. ⟨10.1051/0004-6361/201936788⟩ Article dans une revue hal-02532638v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Hidden Gibbs random fields model selection using Block Likelihood Information Criterion Julien Stoehr , Jean-Michel Marin , Pierre Pudlo Stat, 2016, 5 (1), pp.158-172. ⟨10.1002/sta4.112⟩ Article dans une revue hal-01330202v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields Julien Stoehr , Pierre Pudlo , Lionel Cucala Statistics and Computing, 2014, 25 (1), pp.129 - 141. ⟨10.1007/s11222-014-9514-9⟩ Article dans une revue hal-00942797v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Large deviations and full Edgeworth expansions for finite Markov chains with applications to the analysis of genomic sequences Pierre Pudlo ESAIM: Probability and Statistics, 2010, 14, pp.435-455. ⟨10.1051/ps/2009008⟩ Article dans une revue hal-00654472v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Operator norm convergence of spectral clustering on level sets Bruno Pelletier , Pierre Pudlo Journal of Machine Learning Research, 2011, 12, pp.385-416 Article dans une revue hal-00455730v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Estimation of density level sets with a given probability content Benoît Cadre , Bruno Pelletier , Pierre Pudlo Journal of Nonparametric Statistics, 2013, 25 (1), pp.261-272. ⟨10.1080/10485252.2012.750319⟩ Article dans une revue hal-00796621v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Estimation du nombre de clusters à l'aide de l'algorithme de clustering spectral Bruno Pelletier , Pierre Pudlo 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France Communication dans un congrès inria-00386765v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Bayesian linear functional regression with sparse step function Paul-Marie Grollemund , Christophe Abraham , Pierre Pudlo , Meïli Baragatti 22. International Conference on Computational Statistics (COMPSTAT). Satellite CRoNoS Workshop on Functional Data Analysis, Aug 2016, Oviedo, Spain. 101 p Communication dans un congrès hal-02738978v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Demographic inference from genetic data : consideration of an epidemiological model and a combinaition of different types of markers Raphaël Leblois , Pierre Pudlo , Champak Reddy Beeravolu , François Rousset Mathematical and Computational Evolutionnary Biology 2013, May 2013, Montpellier, France Poster de conférence hal-02933720v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Convergence de la constante de Cheeger de graphes de voisinage. Ery Arias-Castro , Bruno Pelletier , Pierre Pudlo 42èmes Journées de Statistique, 2010, Marseille, France, France Communication dans un congrès inria-00494789v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Maximum likelihood inference comparing sequence and allelic markers in a population of variable size: an Importance Sampling approach Champak Beeravolu Reddy , Francois Rousset , Pierre Pudlo , Raphaël Leblois Mathematical and Computational Evolutionnary Biology 2012, Jun 2012, Montpellier, France. , 2012 Poster de conférence hal-02932322v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Interpretable Bayesian Functional Linear Regression Paul-Marie Grollemund , Christophe Abraham , Meïli Baragatti , Pierre Pudlo 47. Journées de Statistique de la SFdS, Jun 2015, Lille, France. 2015 Poster de conférence hal-01974608v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Bayesian Functional Linear Regression with Sparse Step Functions Paul-Marie Grollemund , Christophe Abraham , Meïli Baragatti , Pierre Pudlo Bayesian Analysis, 2019, 14 (1), pp.111-135. ⟨10.1214/18-BA1095⟩ Article dans une revue hal-02628016v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Approximate Bayesian Computation using Random Forest

Elicitation of Experts' Knowledge for Functional Linear Regression

Large deviations and full Edgeworth expansions for finite Markov chains with applications to the analysis of genomic sequences

Consistency of the Adaptive Multiple Importance Sampling

Reliable ABC model choice via random forests

Estimations précises de grandes déviations et applications à la statistique des séquences biologiques

An overview on approximate bayesian computation

Bayesian computation via empirical likelihood.

Simulation of stochastic models of structured population in population genetics under neutrality

The Normalized Graph Cut and Cheeger Constant: from Discrete to Continuous

Resampling : an improvement in varying population size models

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

Bayesian Functional Linear Regression with Informative Prior Distribution

An overview on approximate bayesian computation

Constraining the recent star formation history of galaxies: an approximate Bayesian computation approach

Hidden Gibbs random fields model selection using Block Likelihood Information Criterion

Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields

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

Large deviations and full Edgeworth expansions for finite Markov chains with applications to the analysis of genomic sequences

Operator norm convergence of spectral clustering on level sets

Estimation of density level sets with a given probability content

Estimation du nombre de clusters à l'aide de l'algorithme de clustering spectral

Bayesian linear functional regression with sparse step function

Demographic inference from genetic data : consideration of an epidemiological model and a combinaition of different types of markers

Convergence de la constante de Cheeger de graphes de voisinage.

Approximate Bayesian computational methods

Maximum likelihood inference comparing sequence and allelic markers in a population of variable size: an Importance Sampling approach

Interpretable Bayesian Functional Linear Regression

Bayesian Functional Linear Regression with Sparse Step Functions

Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest.