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Synopsis
This valuable compendium of statistical methods features a unique combination of methodology, theory, algorithms and applications. It covers recently developed approaches to handling large and complex data sets, including the Lasso and boosting methods.
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À propos de l?auteur
Peter Bühlmann is Professor of Statistics at ETH Zürich. His main research areas are high-dimensional statistical inference, machine learning, graphical modeling, nonparametric methods, and statistical modeling in the life sciences. He is currently editor of the Annals of Statistics. He was awarded a Medallion lecture by the Institute of Mathematical Statistics in 2009 and read a paper to the Royal Statistical Society in 2010.
Sara van de Geer has been a full professor at the ETH in Zürich since 2005. Her main areas of research are empirical process theory, statistical learning theory, and nonparametric and high-dimensional statistics. She is an associate editor of Probability Theory and Related Fields, The Scandinavian Journal of Statistics and Statistical Surveys and a member of the Swiss National Science Foundation and correspondent of the Dutch Royal Academy of Sciences.
She received the IMS medal in 2003 and the ISI award in 2005, and was an invited speaker at the International Conference of Mathematicians in 2010.
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Edition internationale
Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
Edition internationaleVendeur : Sizzler Texts, SAN GABRIEL, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Soft cover. Etat : New. Etat de la jaquette : New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service. N° de réf. du vendeur ABE-1533322999891
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Edition internationale
Statistics for High-Dimensional Data: Methods, Theory and Applications
Edité par
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Soft cover
Vendeur : Aideo Books, San Marino, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Soft cover. Etat : New. International Edition. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. 558 p. Springer Series in Statistics. Audience: Professional and scholarly. N° de réf. du vendeur K7090001332
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Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In English. N° de réf. du vendeur ria9783642201912_new
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Statistics for High-Dimensional Data
Edité par
Springer Berlin Heidelberg, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains the fundamentals of the recent research in a very timely areaGives an overview of the area and adds many new insightsThere is a unique mix of methodology, theory, algorithms and applicationsThe number of recent papers on the. N° de réf. du vendeur 5052129
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Statistics for High-Dimensional Data : Methods, Theory and Applications
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods' great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science. N° de réf. du vendeur 9783642201912
Quantité disponible : 1 disponible(s)
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Statistics for High-Dimensional Data
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2011, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods' great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science. 576 pp. Englisch. N° de réf. du vendeur 9783642201912
Quantité disponible : 2 disponible(s)
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Statistics for High-Dimensional Data
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2011, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods¿ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 576 pp. Englisch. N° de réf. du vendeur 9783642201912
Quantité disponible : 2 disponible(s)
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Statistics for High-Dimensional Data
Edité par
Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Hardback. Etat : New. Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods' great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science. N° de réf. du vendeur LU-9783642201912
Quantité disponible : Plus de 20 disponibles
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Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9783642201912
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Statistics for High-Dimensional Data
Edité par
Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10 : 3642201911
ISBN 13 : 9783642201912
Neuf
Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods' great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science. N° de réf. du vendeur LU-9783642201912
Quantité disponible : Plus de 20 disponibles