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https://hdl.handle.net/20.500.14279/9916
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Gatu, Cristian | - |
dc.contributor.author | Kontoghiorghes, Erricos John | - |
dc.contributor.other | Κοντογιώργης, Ερρίκος | - |
dc.date.accessioned | 2017-02-24T08:36:13Z | - |
dc.date.available | 2017-02-24T08:36:13Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Statistics and Computing, 2013, vol. 23, pp. 403-411 | en_US |
dc.identifier.issn | 09603174 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/9916 | - |
dc.description.abstract | An 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.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Statistics and Computing | en_US |
dc.rights | © Springer | en_US |
dc.subject | Branch-and-bound algorithms | en_US |
dc.subject | Subset selection | en_US |
dc.subject | Non-negative least squares | en_US |
dc.title | A fast algorithm for non-negativity model selection | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | University of Nicosia | en_US |
dc.subject.category | Economics and Business | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/s11222-012-9318-8 | en_US |
dc.relation.volume | 23 | en_US |
cut.common.academicyear | 2013-2014 | en_US |
dc.identifier.spage | 403 | en_US |
dc.identifier.epage | 411 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.journal.journalissn | 1573-1375 | - |
crisitem.journal.publisher | Springer Nature | - |
crisitem.author.dept | Department of Finance, Accounting and Management Science | - |
crisitem.author.faculty | Faculty of Tourism Management, Hospitality and Entrepreneurship | - |
crisitem.author.orcid | 0000-0001-9704-9510 | - |
crisitem.author.parentorg | Faculty of Management and Economics | - |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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