Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/17966 |
Resumo: | In this paper, the Ridge-GME parameter estimator, which combines Ridge Regression and Generalized Maximum Entropy, is improved in order to eliminate the subjectivity in the analysis of the ridge trace. A serious concern with the visual inspection of the ridge trace to define the supports for the parameters in the Ridge-GME parameter estimator is the misinterpretation of some ridge traces, in particular where some of them are very close to the axes. A simulation study and two empirical applications are used to illustrate the performance of the improved estimator. A MATLAB code is provided as supplementary material. |
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Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimatorGeneralized maximum entropyRidge regressionShrinkage estimationIn this paper, the Ridge-GME parameter estimator, which combines Ridge Regression and Generalized Maximum Entropy, is improved in order to eliminate the subjectivity in the analysis of the ridge trace. A serious concern with the visual inspection of the ridge trace to define the supports for the parameters in the Ridge-GME parameter estimator is the misinterpretation of some ridge traces, in particular where some of them are very close to the axes. A simulation study and two empirical applications are used to illustrate the performance of the improved estimator. A MATLAB code is provided as supplementary material.Taylor & Francis2018-07-20T14:01:00Z2017-01-01T00:00:00Z20172018-01-01T14:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/17966eng0361-091810.1080/03610918.2015.1096378Macedo, Pedroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:33:26Zoai:ria.ua.pt:10773/17966Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:52:36.110788Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
title |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
spellingShingle |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator Macedo, Pedro Generalized maximum entropy Ridge regression Shrinkage estimation |
title_short |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
title_full |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
title_fullStr |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
title_full_unstemmed |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
title_sort |
Ridge regression and generalized maximum entropy: an improved version of the Ridge-GME parameter estimator |
author |
Macedo, Pedro |
author_facet |
Macedo, Pedro |
author_role |
author |
dc.contributor.author.fl_str_mv |
Macedo, Pedro |
dc.subject.por.fl_str_mv |
Generalized maximum entropy Ridge regression Shrinkage estimation |
topic |
Generalized maximum entropy Ridge regression Shrinkage estimation |
description |
In this paper, the Ridge-GME parameter estimator, which combines Ridge Regression and Generalized Maximum Entropy, is improved in order to eliminate the subjectivity in the analysis of the ridge trace. A serious concern with the visual inspection of the ridge trace to define the supports for the parameters in the Ridge-GME parameter estimator is the misinterpretation of some ridge traces, in particular where some of them are very close to the axes. A simulation study and two empirical applications are used to illustrate the performance of the improved estimator. A MATLAB code is provided as supplementary material. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01T00:00:00Z 2017 2018-07-20T14:01:00Z 2018-01-01T14:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/17966 |
url |
http://hdl.handle.net/10773/17966 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0361-0918 10.1080/03610918.2015.1096378 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137576421949440 |