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Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII--2003

Since the impressive works of Talagrand, concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also turn out to be essential tools to develop a non-asymptotic theory in statistics, exactly as the central limit theorem and large deviations are known to play a central part in the asymptotic theory. An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, change points detection and statistical learning are discussed. This volume r.

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  • "Ecole d'Eté de Probabilités de Saint-Flour XXXIII--2003"@en

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  • "Since the impressive works of Talagrand, concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also turn out to be essential tools to develop a non-asymptotic theory in statistics, exactly as the central limit theorem and large deviations are known to play a central part in the asymptotic theory. An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, change points detection and statistical learning are discussed. This volume r."@en
  • ""Since the impressive works of Talagrand, concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also turn out to be essential tools to develop a non-asymptotic theory in statistics, exactly as the central limit theorem and large deviations are known to play a central part in the asymptotic theory. An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, change points detection and statistical learning are discussed. This volume reflects the content of the course given by P. Massart in St. Flour in 2003. It is mostly self-contained and accessible to graduate students." -- Font no determinada."

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  • "Ressource Internet (Descripteur de forme)"
  • "Llibres electrònics"
  • "Electronic books"
  • "Electronic books"@en
  • "Online-Publikation"
  • "Livre électronique (Descripteur de forme)"

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  • "Concentration inequalities and model selection École d'Ete de Probabilites de Saint-Flour XXXIII - 2003"
  • "Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII--2003"@en
  • "Concentration inequalities and model selection : Ecole d'été de probabilités de Saint-Flour XXXIII - 2003"
  • "Concentration inequalities and model selection : ecole d'eté de probabilités de Saint-Flour XXXIII - 2003"
  • "Concentration Inequalities and Model Selection Ecole D'Eteþ de Probabiliteþs de Saint-Flour XXXIII - 2003"@en
  • "Concentration inequalities and model selection Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003"@en
  • "Concentration inequalities and model selection Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003"
  • "Concentration inequalities and model selection : Ecole d'Eté de probabilités de Saint-Flour XXXIII - 2003"
  • "Concentration inequalities and model selection"
  • "Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003"
  • "Concentration inequalities and model selection : Ecole d'eté de probabilités de Saint-Flour XXXIII-2003"
  • "Concentration Inequalities and Model Selection Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003"
  • "Concentration inequalities and model selection : ecole d'Eté de probabilités de Saint-Flour XXXIII-2003"
  • "Concentration Inequalities and Model Selection Ecole d'Et? de Probabilit?s de Saint-Flour XXXIII - 2003 00"@en
  • "Concentration Inequalities and Model Selection"
  • "Concentration Inequalities and Model Selection Ecole d'Et♭̧ de Probabilit♭̧s de Saint-Flour XXXIII - 2003"@en

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