1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2099
DC FieldValueLanguage
dc.contributor.authorGatu, Cristian-
dc.contributor.authorYanev, Petko I.-
dc.contributor.authorKontoghiorghes, Erricos John-
dc.contributor.otherΚοντογιώργης, Έρρικος Γιάννης-
dc.date.accessioned2013-01-28T13:17:05Zen
dc.date.accessioned2013-05-16T08:21:55Z-
dc.date.accessioned2015-12-02T09:28:53Z-
dc.date.available2013-01-28T13:17:05Zen
dc.date.available2013-05-16T08:21:55Z-
dc.date.available2015-12-02T09:28:53Z-
dc.date.issued2007-10-15-
dc.identifier.citationComputational Statistics and Data Analysis, 2007, vol. 52, no. 2, pp. 799-815.en_US
dc.identifier.issn1679473-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/2099-
dc.description.abstractA regression graph to enumerate and evaluate all possible subset regression models is introduced. The graph is a generalization of a regression tree. All the spanning trees of the graph are minimum spanning trees and provide an optimal computational procedure for generating all possible submodels. Each minimum spanning tree has a different structure and characteristics. An adaptation of a branch-and-bound algorithm which computes the best-subset models using the regression graph framework is proposed. Experimental results and comparison with an existing method based on a regression tree are presented and discussed.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofComputational Statistics and Data Analysisen_US
dc.rights© Elsevieren_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectRegression analysisen_US
dc.subjectAlgorithmsen_US
dc.subjectBranch-and-bound algorithmen_US
dc.subjectComputer simulationen_US
dc.subjectSet theoryen_US
dc.titleA graph approach to generate all possible regression submodelsen_US
dc.typeArticleen_US
dc.affiliationCyprus University of Technologyen
dc.collaborationUniversité de Neuchâtelen_US
dc.collaborationUniversity of Plovdiv “Paisii Hilendarski,” Bulgariaen_US
dc.collaborationUniversity of Cyprusen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.csda.2007.02.018en_US
dc.dept.handle123456789/54en
dc.relation.issue2en_US
dc.relation.volume52en_US
cut.common.academicyear2007-2008en_US
dc.identifier.spage799en_US
dc.identifier.epage815en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn0167-9473-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Finance, Accounting and Management Science-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.orcid0000-0001-9704-9510-
crisitem.author.parentorgFaculty of Management and Economics-
Appears in Collections:Άρθρα/Articles
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

23
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations 50

24
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s)

620
Last Week
0
Last month
29
checked on Mar 13, 2025

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons