Statistical Learning from a Regression Perspective

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Berk, Richard A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:2nd ed. 2016.
Colección:Springer Texts in Statistics,
Temas:
Statistics .
Probabilities.
Social sciences-Statistical methods.
Public health.
Psychology-Methodology.
Sociology-Methodology.
Statistical Theory and Methods.
Probability Theory.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Public Health.
Psychological Methods.
Sociological Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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