1. Recherche
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inria-00073300v1  Rapport
Stéphane Girard, Jean Diebolt. On the Convergence of the ET Method for Extreme Upper Quantile Estimation
RR-3389, INRIA. 1998
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inria-00073271v1  Rapport
Jean Diebolt. The Half-sample Method for Testing Parametric Regressive and Autoregressive Models of Order 1
RR-3418, INRIA. 1998
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inria-00073116v1  Rapport
Didier Chauveau, Jean Diebolt. An Automated Stopping Rule for MCMC Convergence Assessment
RR-3566, INRIA. 1998
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inria-00074164v1  Rapport
Gilles Celeux, Didier Chauveau, Jean Diebolt. On Stochastic Versions of the EM Algorithm
[Research Report] RR-2514, INRIA. 1995
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inria-00074969v1  Rapport
Jean Diebolt, Gilles Celeux. Asymptotic properties of a stochastic EM algorithm for estimating mixing proportions
[Research Report] RR-1591, INRIA. 1992
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hal-01094837v2  Pré-publication, Document de travail
Didier Chauveau, Vy Thuy Lynh Hoang. Nonparametric mixture models with conditionally independent multivariate component densities
2015
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inria-00075436v1  Rapport
Gilles Celeux, Jean Diebolt. Une version de type recuit simule de l'algorithme EM
RR-1123, INRIA. 1989
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inria-00075178v1  Rapport
Gilles Celeux, Jean Diebolt. A stochastic approximation type EM algorithm for the mixture problem
[Research Report] RR-1383, INRIA. 1991
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inria-00075655v1  Rapport
Gilles Celeux, Jean Diebolt. A random imputation principle : the stochastic EM algorithm
RR-0901, INRIA. 1988
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inria-00075912v1  Rapport
Gilles Celeux, Jean Diebolt. The EM and SEM algorithms for mixtures :Statistical and numerical aspects
RR-0641, INRIA. 1987
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hal-00625285v2  Pré-publication, Document de travail
Didier Chauveau, David Hunter. ECM and MM algorithms for normal mixtures with constrained parameters
2013
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hal-00353297v1  Chapitre d'ouvrage
Tatiana Benaglia, Didier Chauveau, David Hunter. Bandwidth Selection in an EM-like algorithm for nonparametric multivariate mixtures
World Scientific Publishing Co. Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P. Hettmansperger, World Scientific Publishing Co., pp.15-27, 2011
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inria-00072411v1  Rapport
Jean Diebolt, Myriam Garrido, Catherine Trottier. A Bayesian Regularization Procedure for a Better Extremal Fit
[Research Report] RR-4211, INRIA. 2001
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inria-00072452v1  Rapport
Jean Diebolt, Myriam Garrido, Stéphane Girard. Le test ET : test d'adéquation d'un modèle central à une queue de distribution
[Rapport de recherche] RR-4170, INRIA. 2001
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hal-00558834v2  Pré-publication, Document de travail
Didier Chauveau, David Hunter, Michael Levine. Semi-Parametric Estimation for Conditional Independence Multivariate Finite Mixture Models
2014
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hal-00685823v2  Pré-publication, Document de travail
Laurent Bordes, Didier Chauveau. EM and Stochastic EM algorithms for reliability mixture models under random censoring
2012
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hal-00717545v1  Communication dans un congrès
Didier Chauveau. New mixture models and algorithms in the mixtools package
1ères Rencontres R, Jul 2012, Bordeaux, France
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hal-00474646v1  Pré-publication, Document de travail
Valérie Desjardins, Didier Chauveau, Julien Foki, Jean-François Delmas. Statistical Analysis of Mother-infant (3 to 9 months) Perceptive System Communication
2010
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inria-00071783v1  Rapport
Jean Diebolt, Mhamed-Ali El-Aroui, Myriam Garrido, Stéphane Girard. Quasi-conjugate Bayes estimates for GPD parameters and application to heavy tails modelling
[Research Report] RR-4803, INRIA. 2003
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inria-00072037v1  Rapport
Jean Diebolt, Myriam Garrido, Stéphane Girard. Asymptotic normality of the ET method for extreme quantile estimation. Application to the ET test
[Research Report] RR-4551, INRIA. 2002
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inria-00075991v1  Rapport
Gilles Celeux, Jean Diebolt. Etude du comportement asymptotique d'un algorithme d'apprentissage probabiliste pour les melanges de lois de probabilite
RR-0563, INRIA. 1986
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inria-00076208v1  Rapport
Gilles Celeux, Jean Diebolt. Reconnaissance de mélange de densité et classification.Un algorithme d'apprentissage probabiliste : l'algorithme SEM
RR-0349, INRIA. 1984
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hal-00193730v2  Article dans une revue
Tatiana Benaglia, Didier Chauveau, David Hunter. An EM-like algorithm for semi- and non-parametric estimation in multivariate mixtures
Journal of Computational and Graphical Statistics, Taylor & Francis, 2009, 18 (2), pp.505-526. <10.1198/jcgs.2009.07175>
halshs-00199526v1  Article dans une revue
Jean Diebolt, Dominique Guegan. Tail Behaviour of the Stationary Density of General Non-Linear Autoregressive Processes of Order One
Journal of Applied Probability, Applied Probability Trust, 1993, 30 (2), pp.315-329
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hal-01478523v1  Communication dans un congrès
Laurent Bordes, Didier Chauveau. Stochastic EM-like Algorithms for Fitting Finite Mixture of Lifetime Regression Models Under Right Censoring
Alexandria, VA: American Statistical Association. Joint Statistical Meeting 2016, Jul 2016, Chicago, United States. JSM Proceedings, Section on Nonparametric Statistics, pp.1735-1746, 2016, <https://ww2.amstat.org/meetings/jsm/2016/>
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hal-00948553v1  Article dans une revue
Didier Chauveau, Nicolas P.A. Saby, Thomas G. Orton, Blandine Lemercier, Christian Walter et al.  Large-scale simultaneous hypothesis testing in monitoring carbon content from French soil database - A semi-parametric mixture approach
Geoderma, Elsevier, 2014, 219-220, pp.117-124. <10.1016/j.geoderma.2013.12.016>
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hal-00516391v1  Article dans une revue
Michael Levine, David Hunter, Didier Chauveau. Maximum Smoothed Likelihood for Multivariate Mixtures
Biometrika, Oxford University Press (OUP), 2011, 98 (2), pp.403-416. <10.1093/biomet/asq079>
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hal-00384896v1  Article dans une revue
Tatiana Benaglia, Didier Chauveau, David Hunter, Derek Young. mixtools: An R Package for Analyzing Finite Mixture Models
Journal of Statistical Software, University of California, Los Angeles, 2009, 32 (6), pp.1-29
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