Statistical Learning from a Regression Perspective

• Main Author: Berk, Richard A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Edition: 2nd ed. 2016.
• Series: Springer Texts in Statistics,
• Subjects: Statistics.; Public health.; Probabilities.; Social sciences.; Psychology > Methodology.; Psychological measurement.; Statistical Theory and Methods.; Probability Theory and Stochastic Processes.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Public Health.; Psychological Methods/Evaluation.; Methodology of the Social Sciences.

This textbook 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 first approximation, this can be seen as...

Table of Contents:

• 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.