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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, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, provin...
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| Auteurs principaux : | , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Statistics for high-dimensional data : methods, theory and applications / Peter Bühlmann, Sara van de Geer |
| Publié : |
Berlin, London, New York [etc.] :
Springer
, cop. 2011, cop. 2011 |
| Description matérielle : | 1 vol. (XVII-556 p.) |
| Collection : | Springer series in statistics |
| Contenu : | Contient des exercices |
| Sujets : | |
| Documents associés : | Autre format:
Statistics for high-dimensional data |
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| 200 | 1 | |a Statistics for high-dimensional data |e methods, theory and applications |f Peter Bühlmann, Sara van de Geer | |
| 210 | |a Berlin |a London |a New York [etc.] |c Springer |d cop. 2011, cop. 2011 | ||
| 215 | |a 1 vol. (XVII-556 p.) |c Ill., graph., tabl. en noir et en coul. |d 25 cm | ||
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| 320 | |a Bibliogr. p. 547-556. Index | ||
| 327 | 0 | |a Contient des exercices | |
| 330 | |a 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, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, proving their great potential in a large number of settings. Both the methods and theory are then illustrated with real data examples | ||
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| 452 | | | |0 156316374 |t Statistics for high-dimensional data |o methods, theory and applications |f by Peter Bühlmann, Sara van de Geer |c Berlin, Heidelberg |n Springer Berlin Heidelberg |n Springer e-books |d 2011 |s Springer Series in Statistics |y 364-220-191-1 | |
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