Statistics for High-Dimensional Data
Peter Bühlmann|Sara van de Geer
Language: English
Published by Springer Berlin Heidelberg, 2013
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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- Title
- Statistics for High-Dimensional Data
- Author
- Peter Bühlmann|Sara van de Geer
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2013
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642268579
- ISBN 13
- 9783642268571
- Series
- Book 123 of 160: Springer Series in Statistics
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"About the title" may belong to another edition of this title.
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