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Multivariate adaptive regression spline

In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables.

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The MARS model

Hinge functions

The model building process

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Extensions and related concepts

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Multivariate adaptive regression spline

Nodes47
Edges46
Triples0
Avg. degree1.96
Density0.042553
Components1

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mars model hinge functions models function displaystyle regression data example variables term pass one values basis ozone terms linear forward

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