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Titlebook: Concentration Inequalities and Model Selection; Ecole d‘Eté de Proba Pascal Massart,Jean Picard Book 2007 Springer-Verlag Berlin Heidelberg

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書目名稱Concentration Inequalities and Model Selection
副標(biāo)題Ecole d‘Eté de Proba
編輯Pascal Massart,Jean Picard
視頻videohttp://file.papertrans.cn/235/234853/234853.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Mathematics
圖書封面Titlebook: Concentration Inequalities and Model Selection; Ecole d‘Eté de Proba Pascal Massart,Jean Picard Book 2007 Springer-Verlag Berlin Heidelberg
描述.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..
出版日期Book 2007
關(guān)鍵詞62J0; Information; Maxima; adaptive estimation; concentration inequalities; empirical processes; model sel
版次1
doihttps://doi.org/10.1007/978-3-540-48503-2
isbn_softcover978-3-540-48497-4
isbn_ebook978-3-540-48503-2Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Book 2007Banach 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 sele
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0075-8434 ols 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 overvie
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Lecture Notes in Mathematicshttp://image.papertrans.cn/c/image/234853.jpg
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https://doi.org/10.1007/978-3-540-48503-262J0; Information; Maxima; adaptive estimation; concentration inequalities; empirical processes; model sel
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