Statistical Learning from a Regression Perspective, Hardcover/Richard a. Berk - Springer

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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.
Among the Statistical Learning procedures examined are bagging, random forests, boosting,.
As a first approximation, this is can be seen as an extension of nonparametric regression.
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