Statistical Learning from a Regression Perspective
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a firs...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2008. |
| Serie: | Springer Series in Statistics
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| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 372 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical learning from a regression perspective, Richard A. Berk, New York, Springer, 2008, Springer series in statistics, 978-0-387-77500-5 |
Sommario:
- Statistical Learning as a Regression Problem Regression Splines and Regression Smoothers Classification and Regression Trees (CART) Bagging Random Forests Boosting Support Vector Machines Broader Implications and a Bit of Craft Lore