Introduction -- Exponential and information inequalities -- Gaussian processes -- Gaussian model selection -- Concentration inequalities -- Maximal inequalities -- Density estimation via model selection -- Statistical learning
Summary
"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
Bibliography
Includes bibliographical references (pages 319-324) and index
Notes
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. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
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