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

By: Massart, Pascal
Contributor(s): Ecole d'été de probabilités de Saint-Flour (33rd : 2003)
Material type: TextTextSeries: Lecture notes in mathematics (Springer-Verlag): 1896.Publisher: Berlin ; New York : Springer-Verlag, ©2007Description: 1 online resource (xiv, 337 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783540485032; 3540485031; 3540484973; 9783540484974; 6610853339; 9786610853335Subject(s): Mathematical models | Mathematical statistics -- Methodology | Inequalities (Mathematics) | Modèles mathématiques | Statistique mathématique -- Méthodologie | Inégalités (Mathématiques) | MATHEMATICS -- General | Verdelingen (statistiek) | Combinatieleer | Mathematical models | Mathematical statistics -- Methodology | Inequalities (Mathematics) | Inequalities (Mathematics) | Mathematical models | Mathematical statistics -- Methodology | Verdelingen (statistiek) | Combinatieleer | Modelos matemáticos | Estatística (metodologia)Genre/Form: Electronic books. Additional physical formats: Print version:: Concentration inequalities and model selection.DDC classification: 511/.8 LOC classification: QA401 | .M39135 2007ebOther classification: 31.70 | O212-532 Online resources: Click here to access online
Contents:
Introduction -- Exponential and information inequalities -- Gaussian processes -- Gaussian model selection -- Concentration inequalities -- Maximal inequalities -- Density estimation via model selection -- Statistical learning.
Action note: digitized 2011 committed to preserveReview: "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 accessive to graduate students."--Jacket.
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Includes bibliographical references (pages 319-324) and index.

"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 accessive to graduate students."--Jacket.

Print version record.

Introduction -- Exponential and information inequalities -- Gaussian processes -- Gaussian model selection -- Concentration inequalities -- Maximal inequalities -- Density estimation via model selection -- Statistical learning.

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Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

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