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Statistics for High-Dimensional Data: Methods, Theory and Applications - Springer Series in Statistics Peter Buhlmann 2011 edition
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2013. gada 3. augusts |
| ISBN13 | 9783642268571 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 558 |
| Izmēri | 287 × 160 × 39 mm · 842 g |
| Valoda | Angļu |
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