Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/9916
Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorGatu, Cristian-
dc.contributor.authorKontoghiorghes, Erricos John-
dc.contributor.otherΚοντογιώργης, Ερρίκος-
dc.date.accessioned2017-02-24T08:36:13Z-
dc.date.available2017-02-24T08:36:13Z-
dc.date.issued2013-
dc.identifier.citationStatistics and Computing, 2013, vol. 23, pp. 403-411en_US
dc.identifier.issn09603174-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9916-
dc.description.abstractAn efficient optimization algorithm for identifying the best least squares regression model under the condition of non-negative coefficients is proposed. The algorithm exposits an innovative solution via the unrestricted least squares and is based on the regression tree and branch-and-bound techniques for computing the best subset regression. The aim is to filling a gap in computationally tractable solutions to the non-negative least squares problem and model selection. The proposed method is illustrated with a real dataset. Experimental results on real and artificial random datasets confirm the computational efficacy of the new strategy and demonstrates its ability to solve large model selection problems that are subject to non-negativity constrains.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofStatistics and Computingen_US
dc.rights© Springeren_US
dc.subjectBranch-and-bound algorithmsen_US
dc.subjectSubset selectionen_US
dc.subjectNon-negative least squaresen_US
dc.titleA fast algorithm for non-negativity model selectionen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Nicosiaen_US
dc.subject.categoryEconomics and Businessen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/s11222-012-9318-8en_US
dc.relation.volume23en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage403en_US
dc.identifier.epage411en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1573-1375-
crisitem.journal.publisherSpringer Nature-
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-
Εμφανίζεται στις συλλογές:Άρθρα/Articles
CORE Recommender
Δείξε τη σύντομη περιγραφή του τεκμηρίου

SCOPUSTM   
Citations

1
checked on 9 Νοε 2023

Page view(s)

421
Last Week
0
Last month
30
checked on 13 Μαρ 2025

Google ScholarTM

Check

Altmetric


Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα