Statistics for High-Dimensional Data Methods, Theory and Applications |
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| Author:
| Bühlmann, Peter
van de Geer, Sara |
| Series title: | Springer Series in Statistics Ser. |
| ISBN: | 978-3-642-26857-1 |
| Publication Date: | Aug 2013 |
| Publisher: | Springer Berlin / Heidelberg
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| Imprint: | Springer |
| Book Format: | Paperback |
| List Price: | USD $109.99 |
Book Description:
|
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.
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.