Statistical Learning from a Regression Perspective

Statistical Learning from a Regression Perspective

Berk, Richard A.

Springer International Publishing AG

10/2016

347

Dura

Inglês

9783319440477

15 a 20 dias

This book 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.
Statistical Learning as a Regression Problem.- Splines, Smoothers, and Kernels.- Classification and Regression Trees (CART).- Bagging.- Random Forests.- Boosting.- Support Vector Machines.- Some Other Procedures Briefly.- Broader Implications and a Bit of Craft Lore.
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