Free Access
Issue
ESAIM: PS
Volume 13, January 2009
Page(s) 70 - 86
DOI https://doi.org/10.1051/ps:2008002
Published online 26 March 2009
  1. Y. Baraud, Model selection for regression on a fixed design. Probab. Theory Related Fields 117 (2000) 467–493. [CrossRef] [MathSciNet]
  2. Y. Baraud, F. Comte and G. Viennet, Model Selection for (auto-)regression with dependent data. ESAIM: PS 5 (2001) 33–49. [CrossRef] [EDP Sciences]
  3. L. Birgé and P. Massart, Gaussian model selection. J. Eur. Math. Soc. 3 (2001) 203–268. [CrossRef] [MathSciNet]
  4. L. Birgé and P. Massart, Minimal penalties for gaussian model selection. To be published in Probab. Theory Related Fields (2005).
  5. L. Birgé and Y. Rozenholc, How many bins should be put in a regular histogram. ESAIM: PS 10 (2006) 24–45. [CrossRef] [EDP Sciences]
  6. O. Bousquet, Concentration Inequalities for Sub-Additive Functions Using the Entropy Method. Stochastic Inequalities and Applications 56 (2003) 213–247.
  7. L. Breiman, J. Friedman, R. Olshen and C. Stone, Classification And Regression Trees. Chapman et Hall (1984).
  8. G. Castellan, Modified Akaike's criterion for histogram density estimation. C.R. Acad. Sci. Paris Sér. I Math. 330 (2000) 729–732.
  9. O. Catoni, Universal aggregation rules with sharp oracle inequalities. Ann. Stat. (1999) 1–37.
  10. E. Lebarbier, Quelques approches pour la détection de ruptures à horizon fini. Ph.D. thesis, Université Paris XI Orsay (2002).
  11. G. Lugosi and A. Nobel, Consistency of data-driven histogram methods for density estimation and classification. Ann. Stat. 24 (1996) 786–706.
  12. C.L. Mallows, Some comments on cp. Technometrics 15 (1973) 661–675. [CrossRef]
  13. P. Massart, Notes de Saint-Flour. Lecture Notes to be published (2003).
  14. A. Nobel, Histogram regression estimation using data-dependent partitions. Ann. Stat. 24 (1996) 1084–1105. [CrossRef]
  15. M. Sauvé, Sélection de modèles en régression non gaussienne. Applications à la sélection de variables et aux tests de survie accélérés. Ph.D. thesis, Université Paris XI Orsay (2006).
  16. M. Sauvé and C. Tuleau, Variable selection through CART. Research Report 5912, INRIA (2006).

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