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. The term "MARS" is trademarked and licensed to Salford Systems. In order to avoid trademark infringements, many open-source implementations of MARS are called "Earth".
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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. The term "MARS" is trademarked and licensed to Salford Systems. In order to avoid trademark infringements, many open-source implementations of MARS are called "Earth".
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In statistics, multivariate ad ...... ns of MARS are called "Earth".
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La Régression multivariée par ...... terme MARS est une marque de .
@fr
MARSplines (Multivariate Adapt ...... toda najmniejszych kwadratów).
@pl
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In statistics, multivariate ad ...... ns of MARS are called "Earth".
@en
La Régression multivariée par ...... terme MARS est une marque de .
@fr
MARSplines (Multivariate Adapt ...... b większej liczby predyktorów.
@pl
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MARSplines
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Multivariate adaptive regression spline
@en
Régression multivariée par spline adaptative
@fr