Continuous optimization applied in MARS for modern applications in finance, science and technology
dc.contributor.author | Taylan, Pakize | |
dc.contributor.author | Weber, Gerhard-Wilhelm | |
dc.contributor.author | Yerlikaya, Fatma | |
dc.date.accessioned | 2024-04-24T17:33:25Z | |
dc.date.available | 2024-04-24T17:33:25Z | |
dc.date.issued | 2008 | |
dc.department | Dicle Üniversitesi | en_US |
dc.description | 20th International Conference/Euro Mini Conference on Continuous Optimization and Knowledge-Based Technologies (EurOPT 2008) -- MAY 20-23, 2008 -- Neringa, LITHUANIA | en_US |
dc.description.abstract | Multivariate adaptive regression spline (MARS) denotes a tool from statistics, important in classification and regression, with applicability in many areas of finance, science and technology. It is very useful in high dimensions and shows a great promise for fitting nonlinear multivariate functions. The MARS algorithm for estimating the model function consists of two subalgorithms. We propose not to use the second one (backward stepwise algorithm), but we construct a penalized residual sum of squares for a Tikhonov regularization problem which we treat using continuous optimization, considered to become a complementary technology and alternative to the backward stepwise algorithm. Especially, we employ conic quadratic programming (CQP), permitting the use of interior point methods. | en_US |
dc.description.sponsorship | European Assoc Operat Res Soc,Inst Math & Informat,Vilnius Gediminas Tech Univ,Lithuanian Operat Res Soc,EURO WG Continuous Optimizat,German OR Soc,European Chapter Metaheurist,European Chapter Combinatorial Optimizat,IBM Europe,Kaunas Univ Technol | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.isbn | 978-9955-28-283-9 | |
dc.identifier.scopus | 2-s2.0-75749145693 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 317 | en_US |
dc.identifier.uri | https://hdl.handle.net/11468/20673 | |
dc.identifier.wos | WOS:000258881100055 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | en_US |
dc.publisher | Vilnius Gediminas Technical Univ Press, Technika | en_US |
dc.relation.ispartof | 20th International Conference, Euro Mini Conference Continuous Optimization and Knowledge-Based Technologies, Europt'2008 | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Regression | en_US |
dc.subject | Mars | en_US |
dc.subject | Penalty Methods | en_US |
dc.subject | Continuous Optimization | en_US |
dc.subject | Cqp | en_US |
dc.subject | Convexity | en_US |
dc.subject | Statistics. | en_US |
dc.title | Continuous optimization applied in MARS for modern applications in finance, science and technology | en_US |
dc.title | Continuous optimization applied in MARS for modern applications in finance, science and technology | |
dc.type | Conference Object | en_US |