EconPapers    
Economics at your fingertips  
 

A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization

Pakize Taylan (), Gerhard-Wilhelm Weber () and Fatma Yerlikaya Özkurt ()

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2010, vol. 18, issue 2, 377-395

Keywords: Regression; Statistical learning; MARS; Clustering; Curvature; Penalty methods; Classification; Continuous optimization; Conic quadratic programming; Well-structured convex problems; Interior point methods; 41A15; 47N10; 65F22; 62G08; 90C51 (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11750-010-0155-7 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:topjnl:v:18:y:2010:i:2:p:377-395

Ordering information: This journal article can be ordered from
http://link.springer.de/orders.htm

DOI: 10.1007/s11750-010-0155-7

Access Statistics for this article

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research is currently edited by Juan José Salazar González and Gustavo Bergantiños

More articles in TOP: An Official Journal of the Spanish Society of Statistics and Operations Research from Springer, Sociedad de Estadística e Investigación Operativa
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:topjnl:v:18:y:2010:i:2:p:377-395