Statistical Learning from a Regression Perspective

Name: Statistical Learning from a Regression Perspective
Brand: Springer, Berlin
SKU: 9780387775005
Price: 103.27 EUR
Availability: InStock

Автор: Richard A. Berk

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

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Statistical Learning from a Regression Perspective considers statistical learning applications when...

Информация за книгата

Автор

Richard A. Berk

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2008

страници

360

EAN

9780387775005

ISBN

0387775005

Enbook ID

01383012

Издател

Springer, Berlin

Теглоt

570

Размери

155 x 235 x 21

Пълно описание

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 first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical. §Real applications are emphasized, especially those with practical implications. One important theme is the need to explicitly take into account asymmetric costs in the fitting process. For example, in some situations false positives may be far less costly than false negatives. Another important theme is to not automatically cede modeling decisions to a fitting algorithm. In many settings, subject-matter knowledge should trump formal fitting criteria. Yet another important theme is to appreciate the limitation of one s data and not apply statistical learning procedures that require more than the data can provide. §The material is written for graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. Intuitive explanations and visual representations are prominent. All of the analyses included are done in R.

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Statistical Learning from a Regression Perspective

Информация за книгата

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