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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Learning from a Regression Perspective

Statistical Learning from a Regression Perspective

Berk, Richard A.

Hardcover

Series: Springer Statistics

Medical ReferenceGeneral SociologyProbability & Statistics

Currently unavailable to order

ISBN10: 0387775005
ISBN13: 9780387775005
Publisher: Springer Nature
Published: Jul 31 2008
Pages: 360
Weight: 1.50
Height: 0.90 Width: 6.30 Depth: 9.30
Language: English

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.

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