On maximum likelihood estimation of the drift matrix of a degenerated O-U process
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/116122 |
Resumo: | In this work, we consider a 2n-dimension OrnsteinUhlenbeck (OU) process with a singular diffusion matrix. This process represents a currently used model for mechanical systems subject to random vibrations. We study the problem of estimating the drift parameters of the stochastic differential equation that governs the OU process. The maximum likelihood estimator proposed and explored in Koncz (J Anal Math 13(1):7591, 1987) is revisited and applied to our model. We prove the local asymptotic normality property and the convergence of moments of the estimator. Simulation studies based on representative examples taken from the literature illustrate the obtained theoretical results. (c) 2016, Springer Science+Business Media Dordrecht. |
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On maximum likelihood estimation of the drift matrix of a degenerated O-U processEstatística, Matemática aplicada, Teoria das probabilidades, MatemáticaStatistics, Applied mathematics, Probability theory, MathematicsIn this work, we consider a 2n-dimension OrnsteinUhlenbeck (OU) process with a singular diffusion matrix. This process represents a currently used model for mechanical systems subject to random vibrations. We study the problem of estimating the drift parameters of the stochastic differential equation that governs the OU process. The maximum likelihood estimator proposed and explored in Koncz (J Anal Math 13(1):7591, 1987) is revisited and applied to our model. We prove the local asymptotic normality property and the convergence of moments of the estimator. Simulation studies based on representative examples taken from the literature illustrate the obtained theoretical results. (c) 2016, Springer Science+Business Media Dordrecht.20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/116122eng1387-087410.1007/s11203-016-9137-1Ana PriorMarina KleptsynaPaula Milheiro de Oliveirainfo: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:RCAAP2023-11-29T15:20:47Zoai:repositorio-aberto.up.pt:10216/116122Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:21:16.102582Repositório 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 |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
title |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
spellingShingle |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process Ana Prior Estatística, Matemática aplicada, Teoria das probabilidades, Matemática Statistics, Applied mathematics, Probability theory, Mathematics |
title_short |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
title_full |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
title_fullStr |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
title_full_unstemmed |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
title_sort |
On maximum likelihood estimation of the drift matrix of a degenerated O-U process |
author |
Ana Prior |
author_facet |
Ana Prior Marina Kleptsyna Paula Milheiro de Oliveira |
author_role |
author |
author2 |
Marina Kleptsyna Paula Milheiro de Oliveira |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ana Prior Marina Kleptsyna Paula Milheiro de Oliveira |
dc.subject.por.fl_str_mv |
Estatística, Matemática aplicada, Teoria das probabilidades, Matemática Statistics, Applied mathematics, Probability theory, Mathematics |
topic |
Estatística, Matemática aplicada, Teoria das probabilidades, Matemática Statistics, Applied mathematics, Probability theory, Mathematics |
description |
In this work, we consider a 2n-dimension OrnsteinUhlenbeck (OU) process with a singular diffusion matrix. This process represents a currently used model for mechanical systems subject to random vibrations. We study the problem of estimating the drift parameters of the stochastic differential equation that governs the OU process. The maximum likelihood estimator proposed and explored in Koncz (J Anal Math 13(1):7591, 1987) is revisited and applied to our model. We prove the local asymptotic normality property and the convergence of moments of the estimator. Simulation studies based on representative examples taken from the literature illustrate the obtained theoretical results. (c) 2016, Springer Science+Business Media Dordrecht. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
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 |
https://hdl.handle.net/10216/116122 |
url |
https://hdl.handle.net/10216/116122 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1387-0874 10.1007/s11203-016-9137-1 |
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.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 |
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1799136129096613888 |