Statistics for High-Dimensional Data
| Autor: | Bühlmann, Peter de Geer, Sara van |
|---|---|
| EAN: | 9783642268571 |
| Sachgruppe: | Mathematik |
| Sprache: | Englisch |
| Seitenzahl: | 576 |
| Produktart: | Kartoniert / Broschiert |
| Veröffentlichungsdatum: | 03.08.2013 |
| Untertitel: | Methods, Theory and Applications |
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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-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods¿ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
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