January 2018
Beginner to intermediate
422 pages
9h 47m
English
Content preview from Regression Analysis with R
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Multivariate Adaptive Regression Splines
MARS is a form of regression analysis introduced by Jerome H. Friedman (1991), with the main purpose being to predict the values of a response variable from a set of predictor variables.
MARS is a nonparametric regression procedure that makes no assumption about the underlying functional relationship between the response and predictor variables.
This relationship is constructed from a set of coefficients and basis functions that are processed starting from the regression data. The method divides the input space into regions, each with its own regression equation. This makes MARS particularly suitable for problems with a large number of predictors. The following figure shows a distribution with two ...
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