Statistical Learning from a Regression Perspective

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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Berk, Richard A. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Springer Series in Statistics,
Subjects:
Probabilities.
Social sciences-Statistical methods.
Statistics .
Public health.
Psychology-Methodology.
Sociology-Methodology.
Probability Theory.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistical Theory and Methods.
Public Health.
Psychological Methods.
Sociological Methods.
Online Access:Texto Completo
Table of Contents:
  • 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.

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