Publications
Journal papers
- G. Bouchard (2003). Mixture of Regressions with Normal Regressors. In Martin Schader, Wolfgang Gaul, Maurizio Vichi, editors, Between Data Science And Applied Data Analysis.
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G. Bouchard, S. Girard, A. Iouditski and A. Nazin (2004). Nonparametric estimation of the support boundary through linear programming, Automation and Remote Control, 65(1), 58-64.
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G. Bouchard, S. Girard, A. Iouditski and A. Nazin (2004). Linear programming problems for frontier estimation, Applied Stochastic Models in Business and Industry.
International conferences
- G. Bouchard. Mixture of Regressions with Normal
Regressors, Gesellshaft für Klassification, 2002,
Manheim, Germany.
- G. Bouchard and G. Girard. Kernel Frontier
Estimation. Colloquium on Statistical Learning, 2002,
CNAM, Paris, France.
- G. Bouchard and G. Celeux. Supervised
Classification with Spherical Gaussian Mixtures. CLADAG
2003, University of Bologna, Italy.
- G. Bouchard and B. Triggs. The Tradeoff between
Generative and Discriminative classifiers. COMPSTAT
2004, 16th Symposium of IASC, Prague (accepted).
- G. Bouchard and G. Celeux. Choosing a model
in a Classification purpose. Meeting of the
International Federation of Classification Societies,,
2004, Chicago, United States (submitted).
French conferences with evaluation comitee
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G. Bouchard, G. Celeux, F Billy, F. Josse.
Réactualisation bayésienne d'un modèle de dégradation
en fonction du retour d'expérience. Colloque de
Maîtrise des risques et de Sûreté de Fonctionnement
(Lambda-Mu), 2004, Bourges, France (submitted).
Other presentations
- Journée technique IMdR-SdF. Applications
industrielles de la démarche bayésienne, 2003,
l'ESSTIN,Vandoeuvre-Lès-Nancy.
Research Reports
- G. Bouchard, S. Girard, A. Iouditski & A. Nazin. (2003)
"Linear programming problems for frontier estimation", Rapport
de Recherche INRIA RR-4717, et Rapport technique IAP RT-0304,
2003.
Other reports
- G. Bouchard, G. Celeux. (2002) Etude de fiabilité
des pénétrations de fond de cuve. Validation du
programme SimPFC.