Multivariate adaptive regression spline

In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991.[1] 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".[2][3]

  1. ^ Friedman, J. H. (1991). "Multivariate Adaptive Regression Splines". The Annals of Statistics. 19 (1): 1–67. CiteSeerX 10.1.1.382.970. doi:10.1214/aos/1176347963. JSTOR 2241837. MR 1091842. Zbl 0765.62064.
  2. ^ CRAN Package earth
  3. ^ Earth – Multivariate adaptive regression splines in Orange (Python machine learning library)