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https://hdl.handle.net/20.500.14279/2099
Τίτλος: | A graph approach to generate all possible regression submodels | Συγγραφείς: | Gatu, Cristian Yanev, Petko I. Kontoghiorghes, Erricos John |
metadata.dc.contributor.other: | Κοντογιώργης, Έρρικος Γιάννης | Major Field of Science: | Natural Sciences | Λέξεις-κλειδιά: | Regression analysis;Algorithms;Branch-and-bound algorithm;Computer simulation;Set theory | Ημερομηνία Έκδοσης: | 15-Οκτ-2007 | Πηγή: | Computational Statistics and Data Analysis, 2007, vol. 52, no. 2, pp. 799-815. | Volume: | 52 | Issue: | 2 | Start page: | 799 | End page: | 815 | Περιοδικό: | Computational Statistics and Data Analysis | Περίληψη: | A 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. | URI: | https://hdl.handle.net/20.500.14279/2099 | ISSN: | 1679473 | DOI: | 10.1016/j.csda.2007.02.018 | Rights: | © Elsevier | Type: | Article | Affiliation: | Cyprus University of Technology | Affiliation: | Université de Neuchâtel University of Plovdiv “Paisii Hilendarski,” Bulgaria University of Cyprus |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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