Statistics for high-dimensional data methods, theory and applications
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 mo...
| 主要な著者: | , |
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| フォーマット: | Electronic Resource |
| 言語: | English |
| 出版事項: |
Heidelberg, Germany
Springer Berlin
2011
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| シリーズ: | Springer series in statistic
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| 主題: | |
| オンライン･アクセス: | Available for UP System via Springer Link. |