Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics) - Hardcover
Book 123 of 160: Springer Series in Statistics
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Statistics for High-Dimensional Data: Methods, Theory...
International Edition
Statistics for High-Dimensional Data: Methods, Theory and Applications
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2011
ISBN 10: 3642201911
ISBN 13: 9783642201912
New
Soft cover
Seller: Aideo Books, San Marino, CA, U.S.A.
Seller rating 5 out of 5 stars
Soft cover. Condition: 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. Seller Inventory # K7090001332
International Edition
Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
International EditionSeller: Sizzler Texts, SAN GABRIEL, CA, U.S.A.
Seller rating 5 out of 5 stars
Soft cover. Condition: New. Dust Jacket Condition: 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. Seller Inventory # ABE-1533322999891
Seller Image
Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy. Seller Inventory # SEWV.3642201911.G
Stock Image
Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In English. Seller Inventory # ria9783642201912_new
Buy New
US$ 142.05
Shipping:
US$ 15.87
From United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020220520
Seller Image
Statistics for High-Dimensional Data
Published by
Springer Berlin Heidelberg, 2011
ISBN 10: 3642201911
ISBN 13: 9783642201912
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Gebunden. Condition: 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. Seller Inventory # 5052129
Buy New
US$ 158.63
Shipping:
US$ 56.84
From Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Statistics for High-Dimensional Data
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2011, 2011
ISBN 10: 3642201911
ISBN 13: 9783642201912
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783642201912
Seller Image
Statistics for High-Dimensional Data | Methods, Theory and Applications
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Statistics for High-Dimensional Data | Methods, Theory and Applications | Sara van de Geer (u. a.) | Buch | xviii | Englisch | 2011 | Springer-Verlag GmbH | EAN 9783642201912 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 107068225
Seller Image
Statistics for High-Dimensional Data
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2011, 2011
ISBN 10: 3642201911
ISBN 13: 9783642201912
New
Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783642201912
Seller Image
Statistics for High-Dimensional Data : Methods, Theory and Applications
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2011
ISBN 10: 3642201911
ISBN 13: 9783642201912
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783642201912