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Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Peter Bühlmann, Sara van de Geer




[PDF.ow37] Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

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 | #838650 in Books |  2011-06-14 | Original language:English | PDF # 1 |  9.10 x1.30 x6.30l,2.00 | File type: PDF | 558 pages

||3 of 17 people found the following review helpful.| The book was as good as how it was described and quick delivery|By DONGHUI YAN|Peter Bühlmann is one of my favorite statisticians and it is really a
pleasure to read such a beautifully written summary of his work in recent
years.| ||From the reviews:|“This book is a complete study of ℓ1-penalization based statistical methods for high-dimensional data … . Definitely, this book is useful. … its strong level in mathematics makes it more suitable to researche

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-dimensio...

You can specify the type of files you want, for your gadget.Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)   |  Peter Bühlmann, Sara van de Geer.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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