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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 Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2011. gada 8. jūnijs |
| ISBN13 | 9783642201912 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 558 |
| Izmēri | 165 × 245 × 36 mm · 1 kg |
| Valoda | Angļu |
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