Search - Université Toulouse III

	1 2 Suivant Dernière	Relevance Author A→Z Author Z→A Title A→Z Title Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 results per page 50 results per page 100 results per page Merci d'indiquer la raison de votre demande o Export XML-TEI BibTeX EndNote CSV PDF RTF Advanced export... Syndicated feeds RSS ATOM
	hal-00944069v1 Conference papers Vincent Brault, Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel. Package Capushe pour le logiciel R 44ème journées de statistique, 2012, Université libre de Bruxelles, campus du Solbosch
	hal-00944070v1 Conference papers Vincent Brault, Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel. Package Capushe pour le logiciel R 1ère Rencontres R, 2012, Université de Bordeaux, campus Victoire
	hal-01252673v2 Book sections Christophe Biernacki, Cathy Maugis. High-dimensional clustering Choix de modèles et agrégation, Sous la direction de J-J. DROESBEKE, G. SAPORTA, C. THOMAS-AGNAN Edition: Technip., 2017, 9782710811770
	hal-01713035v2 Preprints, Working Papers, ... Sébastien Gadat, Jonas Kahn, Clément Marteau, Cathy Maugis. Parameter recovery in two-component contamination mixtures: the $L^2$ strategy 2018
	hal-00734316v1 Reports Caroline Meynet, Cathy Maugis. A sparse variable selection procedure in model-based clustering [Research Report] 2012
	hal-00973192v1 Journal articles Cathy Maugis, Bertrand Michel. Adaptive density estimation using finite Gaussian mixtures ESAIM: Probability and Statistics, EDP Sciences, 2013, 17, pp.698-724
	hal-02190117v2 Preprints, Working Papers, ... Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis. SuperMix: Sparse Regularization for Mixtures 2020
	hal-01532512v1 Journal articles Panagiotis Papastamoulis, Marie-Laure Magniette, Cathy Maugis. On the estimation of mixtures of Poisson regression models with large number of components Computational Statistics and Data Analysis, Elsevier, 2016, 93, pp.97-106. ⟨10.1016/j.csda.2014.07.005⟩
	hal-00818105v1 Journal articles Béatrice Laurent, Clément Marteau, Cathy Maugis. Non-asymptotic detection of two-component mixtures with unknown means Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2016, 22 (1), pp.242-274
	hal-03098577v1 Journal articles Sevan Arabaciyan, Michael Saint-Antoine, Cathy Maugis, Jean-Marie François, Abhyudai Singh et al. Insights on the control of yeast single-cell growth variability by members of the Trehalose Phosphate Synthase (TPS) complex Frontiers in Cell and Developmental Biology, Frontiers media, 2021, Yeast Differentiation: From Cell-to-Cell Heterogeneity to Replicative Aging and Regulated Cell Death, ⟨10.3389/fcell.2021.607628⟩
	hal-00666838v1 Journal articles Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel. Slope heuristics: overview and implementation Statistics and Computing, Springer Verlag (Germany), 2012, 22 (2), pp.455-470. ⟨10.1007/s11222-011-9236-1⟩
	hal-00666813v1 Journal articles Cathy Maugis, Bertrand Michel. Data-driven penalty calibration : a case study for Gaussian mixture model selection ESAIM: Probability and Statistics, EDP Sciences, 2011, 15, pp.320-339. ⟨10.1051/ps/2010002⟩
	hal-00849439v1 Preprints, Working Papers, ... Gilles Celeux, Martin-Magniette Marie-Laure, Cathy Maugis, Adrian E. Raftery. Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering 2013
	inria-00483229v1 Reports Cathy Maugis, Gilles Celeux, Martin-Magniette Marie-Laure. Variable selection in model-based discriminant analysis [Research Report] RR-7290, INRIA. 2010
	hal-00666826v1 Journal articles Cathy Maugis, Gilles Celeux, Martin-Magniette Marie-Laure. Variable selection in model-based discriminant analysis Journal of Multivariate Analysis, Elsevier, 2011, 102 (10), pp.1374-1387. ⟨10.1016/j.jmva.2011.05.004⟩
	hal-00666845v1 Journal articles Gilles Celeux, Martin-Magniette Marie-Laure, Cathy Maugis, Adrian E. Raftery. Letter to the editor: ''{A} framework for feature selection in clustering Journal of the American Statistical Association, Taylor & Francis, 2011, 106 (493), pp.383. ⟨10.1198/jasa.2011.tm10681⟩
	hal-00972003v1 Journal articles Cathy Maugis, Martin-Magniette Marie-Laure, Sandra Pelletier. SelvarClustMV: Variable selection approach in model-based clustering allowing for missing values Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2012, 15 (2), pp.21-36
	hal-00943473v1 Journal articles Gilles Celeux, Martin-Magniette Marie-Laure, Cathy Maugis, Adrian E. Raftery. Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2014, 155 (2), pp.57-71
	hal-01207072v1 Journal articles Béatrice Laurent, Clément Marteau, Cathy Maugis. Multidimensional two-component Gaussian mixtures detection Annales de l'IHP - Probabilités et Statistiques, In press
	hal-00461639v1 Other publications Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel. Slope Heuristics: Overview and Implementation 2010
	hal-00717565v1 Conference papers Vincent Brault, Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel. Capushe : package de sélection de modèle 1ères Rencontres R, Jul 2012, Bordeaux, France
	inria-00510367v1 Documents associated with scientific events Jean-Patrick Baudry, Cathy Maugis, Bertrand Michel. Pratique de l'heuristique de pente et le package CAPUSHE Journées MAS et Journée en l'honneur de Jacques Neveu, Aug 2010, Talence, France
	hal-02789928v1 Book sections Andrea Rau, Marie-Laure Magniette, Cathy Maugis. Clustering of co-expressed genes Model Choice and Model Aggregation, Editions Technip, 372 p., 2017, 9782710811770
	hal-01193758v2 Reports Andrea Rau, Gilles Celeux, Martin-Magniette Marie-Laure, Cathy Maugis. Clustering high-throughput sequencing data with Poisson mixture models [Research Report] RR-7786, INRIA. 2011, pp.36
	hal-01108821v2 Journal articles Andrea Rau, Cathy Maugis, Marie-Laure Magniette, Gilles Celeux. Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models Bioinformatics, Oxford University Press (OUP), 2015, 31 (9), pp.1420-1427. ⟨10.1093/bioinformatics/btu845⟩
	hal-01595551v1 Journal articles Guillem Rigaill, Sandrine Balzergue, Véronique Brunaud, Eddy Blondet, Andrea Rau et al. Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis Briefings in Bioinformatics, Oxford University Press (OUP), 2016, 19 (1), pp.1-12. ⟨10.1093/bib/bbw092⟩
	hal-02624483v1 Journal articles Andrea Rau, Cathy Maugis. Transformation and model choice for RNA-seq co-expression analysis Briefings in Bioinformatics, Oxford University Press (OUP), 2018, 19 (3), pp.425-436. ⟨10.1093/bib/bbw128⟩
	hal-01971405v1 Journal articles Andrea Rau, Cathy Maugis. Transformation and model choice for RNA-seq co-expression analysis Briefings in Bioinformatics, Oxford University Press (OUP), 2018
	hal-01916941v1 Preprints, Working Papers, ... Antoine Godichon-Baggioni, Cathy Maugis, Andrea Rau. Multi-view cluster aggregation and splitting, with an application to multi-omic breast cancer data 2018
	hal-02789763v1 Preprints, Working Papers, ... Antoine Godichon-Baggioni, Cathy Maugis, Andrea Rau. Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data 2018
	1 2 Suivant Dernière	Relevance Author A→Z Author Z→A Title A→Z Title Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 results per page 50 results per page 100 results per page o Export XML-TEI BibTeX EndNote CSV PDF RTF Advanced export... Syndicated feeds RSS ATOM

Document types Minimize

Author Minimize

Subject field Minimize

Laboratory Minimize

Language Minimize

Type of deposit Minimize

Year Minimize

CONTACT