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Statistics for High-dimensional Data: Methods, Theory and Applications

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Statistics for High-Dimensional Data: Methods, Theory and Applications - Bühlmann, Peter, and Van de Geer, Sara
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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 ...

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Statistics for High-Dimensional Data: Methods, Theory and Applications 2013, Springer, Berlin, Heidelberg

ISBN-13: 9783642268571

2011 edition

Trade paperback

Statistics for High-Dimensional Data: Methods, Theory and Applications 2011, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642201912

Hardcover