Multivariate adaptive regression spline: Difference between revisions

Revision as of 19:13, 16 April 2022

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{{Short description|Non-parametric regression technique}}

In [[statistics]], '''multivariate adaptive regression splines''' ('''MARS''') is a form of [[regression analysis]] introduced by [[Jerome H. Friedman]] in 1991.<ref>{{Cite journal | last1 = Friedman | first1 = J. H. | doi = 10.1214/aos/1176347963 | title = Multivariate Adaptive Regression Splines | journal = The Annals of Statistics | volume = 19 | issue = 1 | pages = 1–67 | year = 1991 |mr=1091842 | zbl = 0765.62064 | jstor = 2241837| citeseerx = 10.1.1.382.970 }}</ref> It is a [[non-parametric regression]] technique and can be seen as an extension of [[linear model]]s that automatically models nonlinearities and interactions between variables.