Entropy-based independence test
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://ciencia.iscte-iul.pt/id/ci-pub-14590 http://hdl.handle.net/10071/15799 |
Resumo: | This paper presents a new test of independence (linear and non-linear) among distributions based on the entropy of Shannon. The main advantages of the presented approach are the fact that this measure does not need to assume any type of theoretical probability distribution and has the ability to capture the linear and non-linear dependencies, without requiring the specification of any kind of dependence model. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Entropy-based independence testEntropyIndependence testMutual informationNon-linear serial dependenceStock index marketsThis paper presents a new test of independence (linear and non-linear) among distributions based on the entropy of Shannon. The main advantages of the presented approach are the fact that this measure does not need to assume any type of theoretical probability distribution and has the ability to capture the linear and non-linear dependencies, without requiring the specification of any kind of dependence model.Springer2018-05-14T10:36:50Z2006-01-01T00:00:00Z20062018-05-14T10:36:07Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/id/ci-pub-14590http://hdl.handle.net/10071/15799eng0924-090X10.1007/s11071-006-2019-0Dionísio, A.Menezes, R.Mendes, D.A.info: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:RCAAP2023-11-09T17:52:40Zoai:repositorio.iscte-iul.pt:10071/15799Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:26:16.088050Repositório 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 |
Entropy-based independence test |
title |
Entropy-based independence test |
spellingShingle |
Entropy-based independence test Dionísio, A. Entropy Independence test Mutual information Non-linear serial dependence Stock index markets |
title_short |
Entropy-based independence test |
title_full |
Entropy-based independence test |
title_fullStr |
Entropy-based independence test |
title_full_unstemmed |
Entropy-based independence test |
title_sort |
Entropy-based independence test |
author |
Dionísio, A. |
author_facet |
Dionísio, A. Menezes, R. Mendes, D.A. |
author_role |
author |
author2 |
Menezes, R. Mendes, D.A. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Dionísio, A. Menezes, R. Mendes, D.A. |
dc.subject.por.fl_str_mv |
Entropy Independence test Mutual information Non-linear serial dependence Stock index markets |
topic |
Entropy Independence test Mutual information Non-linear serial dependence Stock index markets |
description |
This paper presents a new test of independence (linear and non-linear) among distributions based on the entropy of Shannon. The main advantages of the presented approach are the fact that this measure does not need to assume any type of theoretical probability distribution and has the ability to capture the linear and non-linear dependencies, without requiring the specification of any kind of dependence model. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-01-01T00:00:00Z 2006 2018-05-14T10:36:50Z 2018-05-14T10:36:07Z |
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 |
https://ciencia.iscte-iul.pt/id/ci-pub-14590 http://hdl.handle.net/10071/15799 |
url |
https://ciencia.iscte-iul.pt/id/ci-pub-14590 http://hdl.handle.net/10071/15799 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0924-090X 10.1007/s11071-006-2019-0 |
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 |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
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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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1799134826033315840 |