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ISBN 10 : 019876765X ISBN 13 : 9780198767657
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Edité par Springer Berlin Heidelberg, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 496 pages. 8.43x5.85x0.73 inches. In Stock.
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
Langue: anglais
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Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2007, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch.
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Ajouter au panierPaperback. Etat : Brand New. 1st edition. 337 pages. 9.00x6.00x0.75 inches. In Stock.
Edité par Springer Berlin Heidelberg, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 andaccessible to graduate students.
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Edité par Oxford University Press, 2013
ISBN 10 : 0199535256 ISBN 13 : 9780199535255
Langue: anglais
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Edité par Springer Berlin Heidelberg, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
Langue: anglais
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Oxford University Press, 2013
ISBN 10 : 0199535256 ISBN 13 : 9780199535255
Langue: anglais
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Edité par Oxford University Press, 2013
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Langue: anglais
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Edité par Oxford University Press, 2013
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Langue: anglais
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Edité par Oxford University Press, 2013
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Edité par Oxford University Press, Oxford, 2013
ISBN 10 : 0199535256 ISBN 13 : 9780199535255
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete mathematics, and high-dimensional geometry. Roughly speaking, if a function of many independent random variables does not depend too much on any of the variables then it is concentrated in the sense thatwith high probability, it is close to its expected value. This book offers a host of inequalities to illustrate this rich theory in an accessible way by covering the key developments and applications inthe field. The authors describe the interplay between the probabilistic structure (independence) and a variety of tools ranging from functional inequalities to transportation arguments to information theory. Applications to the study of empirical processes, random projections, random matrix theory, and threshold phenomena are also presented. A self-contained introduction to concentration inequalities, it includes a survey of concentration of sums ofindependent random variables, variance bounds, the entropy method, and the transportation method. Deep connections with isoperimetric problems are revealed whilst special attention is paid toapplications to the supremum of empirical processes.Written by leading experts in the field and containing extensive exercise sections this book will be an invaluable resource for researchers and graduate students in mathematics, theoretical computer science, and engineering. An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the state-of-the-art in the area, making it ideal for independent learning and as a reference. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Springer Berlin Heidelberg Apr 2007, 2007
ISBN 10 : 3540484973 ISBN 13 : 9783540484974
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 74,89
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 andaccessible to graduate students. 360 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the.