A moderate deviation for associated random variables

Detalhes bibliográficos
Autor(a) principal: Çaǧın, Tonguç
Data de Publicação: 2016
Outros Autores: Oliveira, Paulo Eduardo, Torrado, Nuria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/36684
https://doi.org/10.1016/j.jkss.2015.11.004
Resumo: Moderate deviations are an important topic in many theoretical or applied statistical areas. We prove two versions of a moderate deviation for associated and strictly stationary random variables with finite moments of order q > 2. The first one uses an assumption depending on the rate of a Gaussian approximation, while the second one discusses more natural assumptions to obtain the approximation rate. The control of the dependence structure relies on the decay rate of the covariances, for which we assume a relatively mild polynomial decay rate. The proof combines a coupling argument together with a suitable use of Berry–Esséen bounds.
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spelling A moderate deviation for associated random variablesModerate deviationAssociationCoupliingApproximationModerate deviations are an important topic in many theoretical or applied statistical areas. We prove two versions of a moderate deviation for associated and strictly stationary random variables with finite moments of order q > 2. The first one uses an assumption depending on the rate of a Gaussian approximation, while the second one discusses more natural assumptions to obtain the approximation rate. The control of the dependence structure relies on the decay rate of the covariances, for which we assume a relatively mild polynomial decay rate. The proof combines a coupling argument together with a suitable use of Berry–Esséen bounds.Elsevier2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/36684http://hdl.handle.net/10316/36684https://doi.org/10.1016/j.jkss.2015.11.004https://doi.org/10.1016/j.jkss.2015.11.004enghttp://www.sciencedirect.com/science/article/pii/S1226319215000927Çaǧın, TonguçOliveira, Paulo EduardoTorrado, Nuriainfo: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:RCAAP2021-10-06T10:25:54Zoai:estudogeral.uc.pt:10316/36684Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:21.087616Repositório 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 A moderate deviation for associated random variables
title A moderate deviation for associated random variables
spellingShingle A moderate deviation for associated random variables
Çaǧın, Tonguç
Moderate deviation
Association
Coupliing
Approximation
title_short A moderate deviation for associated random variables
title_full A moderate deviation for associated random variables
title_fullStr A moderate deviation for associated random variables
title_full_unstemmed A moderate deviation for associated random variables
title_sort A moderate deviation for associated random variables
author Çaǧın, Tonguç
author_facet Çaǧın, Tonguç
Oliveira, Paulo Eduardo
Torrado, Nuria
author_role author
author2 Oliveira, Paulo Eduardo
Torrado, Nuria
author2_role author
author
dc.contributor.author.fl_str_mv Çaǧın, Tonguç
Oliveira, Paulo Eduardo
Torrado, Nuria
dc.subject.por.fl_str_mv Moderate deviation
Association
Coupliing
Approximation
topic Moderate deviation
Association
Coupliing
Approximation
description Moderate deviations are an important topic in many theoretical or applied statistical areas. We prove two versions of a moderate deviation for associated and strictly stationary random variables with finite moments of order q > 2. The first one uses an assumption depending on the rate of a Gaussian approximation, while the second one discusses more natural assumptions to obtain the approximation rate. The control of the dependence structure relies on the decay rate of the covariances, for which we assume a relatively mild polynomial decay rate. The proof combines a coupling argument together with a suitable use of Berry–Esséen bounds.
publishDate 2016
dc.date.none.fl_str_mv 2016
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/36684
http://hdl.handle.net/10316/36684
https://doi.org/10.1016/j.jkss.2015.11.004
https://doi.org/10.1016/j.jkss.2015.11.004
url http://hdl.handle.net/10316/36684
https://doi.org/10.1016/j.jkss.2015.11.004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.sciencedirect.com/science/article/pii/S1226319215000927
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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