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Statistics for High-Dimensional Data: Methods, Theory and Applications - Springer Series in Statistics Peter Buhlmann 2011 edition
Statistics for High-Dimensional Data: Methods, Theory and Applications - Springer Series in Statistics
Peter Buhlmann
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.
558 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 3, 2013 |
| ISBN13 | 9783642268571 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 558 |
| Dimensions | 287 × 160 × 39 mm · 842 g |
| Language | English |