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

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2018
2018
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 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 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
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
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
This paper presents a novel procedure for approximating the global optimum in structural design by combining multivariate… (More)
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2007
2007
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
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
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
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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