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...
| Main Authors: | , |
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| פורמט: | Electronic Resource |
| שפה: | English |
| יצא לאור: |
Heidelberg, Germany
Springer Berlin
2011
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| סדרה: | Springer series in statistic
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| נושאים: | |
| גישה מקוונת: | Available for UP System via Springer Link. |