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100   $a20100301d2007      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aConcentration Inequalities and Model Selection $eEcole d'Eté de Probabilités de Saint-Flour XXXIII - 2003 /$fby Pascal Massart ; edited by Jean Picard
205   $a1st ed. 2007.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007.
215   $a1 online resource (345 p.)
225 1 $aÉcole d'Été de Probabilités de Saint-Flour ;$v1896
300   $aDescription based upon print version of record.
311 08$a9783540484974 
311 08$a3540484973 
320   $aIncludes bibliographical references (p. [319]-324) and index.
327   $aExponential and Information Inequalities -- Gaussian Processes -- Gaussian Model Selection -- Concentration Inequalities -- Maximal Inequalities -- Density Estimation via Model Selection -- Statistical Learning.
330   $aSince the impressive works of Talagrand, concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also turn out to be essential tools to develop a non-asymptotic theory in statistics, exactly as the central limit theorem and large deviations are known to play a central part in the asymptotic theory. An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, change points detection and statistical learning are discussed. This volume reflects the content of the course given by P. Massart in St. Flour in 2003. It is mostly self-contained and accessible to graduate students.
410  0$aÉcole d'Été de Probabilités de Saint-Flour ;$v1896
606   $aProbabilities
606   $aStatistics
606   $aComputer science$xMathematics
606   $aProbability Theory
606   $aStatistical Theory and Methods
606   $aMathematical Applications in Computer Science
615  0$aProbabilities.
615  0$aStatistics.
615  0$aComputer science$xMathematics.
615 14$aProbability Theory.
615 24$aStatistical Theory and Methods.
615 24$aMathematical Applications in Computer Science.
676   $a511/.8
686   $a31.70$2bcl
700   $aMassart$b Pascal$4aut$4http://id.loc.gov/vocabulary/relators/aut$0472501
702   $aPicard$b Jean$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aE?cole d'e?te? de probabilite?s de Saint-Flour$d(33th :$f2003 :$eSaint-Flour, France)
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484843703321
996   $aConcentration inequalities and model selection$9230562
997   $aUNINA