Multivariate Adaptive Regression Splines

Multivariate Adaptive Regression Splines

Multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991. It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models non-linearities 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".

Read more about Multivariate Adaptive Regression Splines:  The Basics, The MARS Model, Hinge Functions, The Model Building Process, Pros and Cons, See Also

Famous quotes containing the word adaptive:

    The shift from the perception of the child as innocent to the perception of the child as competent has greatly increased the demands on contemporary children for maturity, for participating in competitive sports, for early academic achievement, and for protecting themselves against adults who might do them harm. While children might be able to cope with any one of those demands taken singly, taken together they often exceed children’s adaptive capacity.
    David Elkind (20th century)