FAQ

Multivariate adaptive regression splines

In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non… (More)
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Topic mentions per year

Topic mentions per year

1991-2018
0102019912018

Related topics

Related topics

21 relations
Artificial neural networkBasis functionBrute-force searchCross-validation
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Broader (1)

Machine learning

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Multivariate adaptive regression splines
Artificial neural network
Machine learning
Basis function
Logistic regression
Linear model

Papers overview

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2018
2018
Multivariate adaptive regression splines for analysis of geotechnical engineering systems
With the rapid increases in processing speed and memory of low-cost computers, it is not surprising that various advanced… (More)
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2013
2013
Diabetes Disease Diagnosis Using Multivariate Adaptive Regression Splines
Diabetes mellitus is a chronic disease, also associated with an increased risk for heart disease and is emerging as a serious… (More)
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2012
2012
Bootstrapping Conic Multivariate Adaptive Regression Splines (Bcmars)
Bootstrapping is a computer-intensive statistical method which treats the data set as a population and draws samples from it with… (More)
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2010
2010
Discussion: Multivariate Adaptive Regression Splines
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of… (More)
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Review
2009
Review
2009
Profiling Poverty with Multivariate Adaptive Regression Splines
Using data from the 2003 Family Income and Expenditure Survey and 2005 Community-Based Monitoring System for a City, Multivariate… (More)
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2007
2007
Global Optimization With Multivariate Adaptive Regression Splines
This paper presents a novel procedure for approximating the global optimum in structural design by combining multivariate… (More)
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2007
2007
Survival Analysis with Multivariate adaptive Regression Splines
Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions… (More)
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Highly Cited
2005
Highly Cited
2005
A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines
The objective of the proposed study is to explore the performance of credit scoring using a two-stage hybrid modeling procedure… (More)
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Highly Cited
2003
Highly Cited
2003
Mining the Customer Credit Using Classification and Regression Tree and Multivariate Adaptive Regression Splines
Credit scoring has become a very important task as the credit industry has been experiencing severe competition during the past… (More)
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1997
1997
Modeling segmental duration with multivariate adaptive regression splines
The application of “Multivariate Adaptive Regression Splines”(MARS) to the problem of modeling duration of a set of segments used… (More)
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