Difference between revisions of "MARS Algorithm"

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** In [[statistics]], '''Multivariate adaptive regression splines (MARS)</B> 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 model]]s 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". <ref> [http://cran.r-project.org/web/packages/earth/index.html CRAN Package earth] </ref> <ref> [http://orange.biolab.si/blog/2011/12/20/earth-multivariate-adaptive-regression-splines/ Earth - Multivariate adaptive regression splines in Orange (Python machine learning library)] </ref>
 
** In [[statistics]], '''Multivariate adaptive regression splines (MARS)</B> 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 model]]s 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". <ref> [http://cran.r-project.org/web/packages/earth/index.html CRAN Package earth] </ref> <ref> [http://orange.biolab.si/blog/2011/12/20/earth-multivariate-adaptive-regression-splines/ Earth - Multivariate adaptive regression splines in Orange (Python machine learning library)] </ref>
 
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=== 2009 ===
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* ([[2009_TheElementsOfStatisticalLearning|Hastie et al., 2009]]) ⇒ [[::Trevor Hastie]], [[::Robert Tibshirani]], and [[::Jerome H. Friedman]]. ([[year::2009]]). “[https://web.stanford.edu/~hastie/Papers/ESLII.pdf The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd edition)]." Springer-Verlag. ISBN:0387848576
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** QUOTE: ... [[2009_TheElementsOfStatisticalLearning|We]] describe five related techniques: [[generalized additive models]], [[trees]], [[multivariate adaptive regression splines]], the [[patient rule induction method]], and [[hierarchical mixtures of experts]]. ...
  
 
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Revision as of 23:47, 13 September 2019

A MARS Algorithm is a non-parametric regression algorithm ...



References

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2009


Facts about "MARS Algorithm"
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