Slope heuristics for heteroscedastic regression on a random design, 2008. ,
Model-Based Gaussian and Non-Gaussian Clustering, Biometrics, vol.49, issue.3, pp.803-821, 1993. ,
DOI : 10.2307/2532201
Risk bounds for model selection via penalization . Probability Theory and Related Fields, pp.301-413, 1999. ,
Clustering through model selection criteria. Poster session at One Day Statistical Workshop in Lisieux, 2007. ,
Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000. ,
DOI : 10.1109/34.865189
Model-based cluster and discriminant analysis with the MIXMOD software, Computational Statistics & Data Analysis, vol.51, issue.2, pp.587-600, 2006. ,
DOI : 10.1016/j.csda.2005.12.015
URL : https://hal.archives-ouvertes.fr/inria-00069878
From Model Selection to Adaptive Estimation, pp.55-87, 1997. ,
DOI : 10.1007/978-1-4612-1880-7_4
Gaussian model selection, Journal of the European Mathematical Society, vol.3, issue.3, pp.203-268, 2001. ,
DOI : 10.1007/s100970100031
A generalized C p criterion for Gaussian model selection. Prépublication n°647, 2001. ,
Minimal penalties for Gaussian model selection. Probability Theory and Related Fields, pp.33-73, 2006. ,
High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, issue.1, pp.502-519, 2007. ,
DOI : 10.1016/j.csda.2007.02.009
URL : https://hal.archives-ouvertes.fr/inria-00548591
Model selection and multimodel inference, 2002. ,
DOI : 10.1007/b97636
Modified Akaike's criterion for histogram density estimation, 1999. ,
Density estimation via exponential model selection, IEEE Transactions on Information Theory, vol.49, issue.8, pp.2052-2060, 2003. ,
DOI : 10.1109/TIT.2003.814485
Gaussian parsimonious clustering models, Pattern Recognition, vol.28, issue.5, pp.781-793, 1995. ,
DOI : 10.1016/0031-3203(94)00125-6
URL : https://hal.archives-ouvertes.fr/inria-00074643
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B. Methodological, vol.39, issue.1, pp.1-38, 1977. ,
Rates of convergence for the Gaussian mixture sieve. The Annals of Statistics, pp.1105-1127, 2000. ,
Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities, The Annals of Statistics, vol.29, issue.5, pp.1233-1263, 2001. ,
Consistent estimation of the order of mixture models. Sankhy¯ a, The Indian Journal of Statistics. Series A, vol.62, issue.1, pp.49-66, 2000. ,
Simultaneous feature selection and clustering using mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1154-1166, 2004. ,
DOI : 10.1109/TPAMI.2004.71
Detecting multiple change-points in the mean of Gaussian process by model selection, Signal Processing, vol.85, issue.4, pp.717-736, 2005. ,
DOI : 10.1016/j.sigpro.2004.11.012
URL : https://hal.archives-ouvertes.fr/inria-00071847
Potentiel de réserves d'un bassin pétrolier : modélisation et estimation, 2002. ,
Concentration inequalities and model selection, Lectures from the 33rd Summer School on Probability Theory held in Saint-Flour, 2003. ,
Variable Selection for Clustering with Gaussian Mixture Models, Biometrics, vol.100, issue.3, 2007. ,
DOI : 10.1111/j.1541-0420.2008.01160.x
URL : https://hal.archives-ouvertes.fr/inria-00153057
Slope heuristics for variable selection and clustering via Gaussian mixtures, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00284620
Variable Selection for Model-Based Clustering, Journal of the American Statistical Association, vol.101, issue.473, pp.168-178, 2006. ,
DOI : 10.1198/016214506000000113
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
Matrices, volume 216 of Graduate Texts in Mathematics, Theory and applications, 2002. ,
Concentration of measure and isoperimetric inequalities in product spaces, Institut des HautesÉtudesHautes´HautesÉtudes Scientifiques. Publications Mathématiques, pp.73-205, 1995. ,
DOI : 10.1007/BF02699376
New concentration inequalities in product spaces, Inventiones Mathematicae, vol.126, issue.3, pp.505-563, 1996. ,
DOI : 10.1007/s002220050108
Adaptive estimation of regular Gaussian Markov random fields, 2008. ,
Tests et sélection de modèles pour l'analyse de données protéomiques et transcriptomiques, 2007. ,
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