Robust mixture regression based on the skew t distribution

In this study, we propose a robust mixture regression procedure based on the skew t distribution to model heavy-tailed and/or skewed errors in a mixture regression setting. Using the scale mixture representation of the skew  t distribution, we give an Expectation Maximization (EM) algorithm to compu...

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Autores:
Doğru, Fatma Zehra
Arslan, Olcay
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/66504
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/66504
http://bdigital.unal.edu.co/67532/
Palabra clave:
51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Mixture regression models
robust regression
maximum likelihood
EM algorithm
skew t distribution
Algoritmo EM
máxima verosimilitud
mixtura de regresiones
distribución t asimétrica.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Doğru, Fatma Zehrad49bead8-8e3f-4b04-bd8c-31ad47d7a44b300Arslan, Olcay8c67461f-f13b-44b0-8940-8cc4393955ff3002019-07-03T02:15:32Z2019-07-03T02:15:32Z2017-01-01ISSN: 2389-8976https://repositorio.unal.edu.co/handle/unal/66504http://bdigital.unal.edu.co/67532/In this study, we propose a robust mixture regression procedure based on the skew t distribution to model heavy-tailed and/or skewed errors in a mixture regression setting. Using the scale mixture representation of the skew  t distribution, we give an Expectation Maximization (EM) algorithm to compute the maximum likelihood (ML) estimates for the paramaters of interest. The performance of proposed estimators is demonstrated by a simulation study and a real data example.En este estudio se explora una mixtura robusta de modelos de regresión basada en la distribución t asimétrica, con el propósito de modelar colas pesadas o asimétricas en los errores, en un escenario de mixtura de regresiones. Se usa un algoritmo EM para obtener los estimadores máximo verosímiles empleando una mixtura de escala de la distribución t asimétrica. El comportamiento de los estimadores propuestos se ilustra a través de une estudio de simulación y de un ejemplo con datos reales.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadísticahttps://revistas.unal.edu.co/index.php/estad/article/view/53580Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de EstadísticaRevista Colombiana de EstadísticaDoğru, Fatma Zehra and Arslan, Olcay (2017) Robust mixture regression based on the skew t distribution. Revista Colombiana de Estadística, 40 (1). pp. 45-64. ISSN 2389-897651 Matemáticas / Mathematics31 Colecciones de estadística general / StatisticsMixture regression modelsrobust regressionmaximum likelihoodEM algorithmskew t distributionAlgoritmo EMmáxima verosimilitudmixtura de regresionesdistribución t asimétrica.Robust mixture regression based on the skew t distributionArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL53580-314859-1-PB.pdfapplication/pdf679130https://repositorio.unal.edu.co/bitstream/unal/66504/1/53580-314859-1-PB.pdf8a91acf3ea0ba6e6a79af4f2c56364f6MD51THUMBNAIL53580-314859-1-PB.pdf.jpg53580-314859-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg5143https://repositorio.unal.edu.co/bitstream/unal/66504/2/53580-314859-1-PB.pdf.jpg5e7043b50477e0901a6a6e48098abe90MD52unal/66504oai:repositorio.unal.edu.co:unal/665042023-05-25 23:03:01.597Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Robust mixture regression based on the skew t distribution
title Robust mixture regression based on the skew t distribution
spellingShingle Robust mixture regression based on the skew t distribution
51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Mixture regression models
robust regression
maximum likelihood
EM algorithm
skew t distribution
Algoritmo EM
máxima verosimilitud
mixtura de regresiones
distribución t asimétrica.
title_short Robust mixture regression based on the skew t distribution
title_full Robust mixture regression based on the skew t distribution
title_fullStr Robust mixture regression based on the skew t distribution
title_full_unstemmed Robust mixture regression based on the skew t distribution
title_sort Robust mixture regression based on the skew t distribution
dc.creator.fl_str_mv Doğru, Fatma Zehra
Arslan, Olcay
dc.contributor.author.spa.fl_str_mv Doğru, Fatma Zehra
Arslan, Olcay
dc.subject.ddc.spa.fl_str_mv 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
topic 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Mixture regression models
robust regression
maximum likelihood
EM algorithm
skew t distribution
Algoritmo EM
máxima verosimilitud
mixtura de regresiones
distribución t asimétrica.
dc.subject.proposal.spa.fl_str_mv Mixture regression models
robust regression
maximum likelihood
EM algorithm
skew t distribution
Algoritmo EM
máxima verosimilitud
mixtura de regresiones
distribución t asimétrica.
description In this study, we propose a robust mixture regression procedure based on the skew t distribution to model heavy-tailed and/or skewed errors in a mixture regression setting. Using the scale mixture representation of the skew  t distribution, we give an Expectation Maximization (EM) algorithm to compute the maximum likelihood (ML) estimates for the paramaters of interest. The performance of proposed estimators is demonstrated by a simulation study and a real data example.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017-01-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T02:15:32Z
dc.date.available.spa.fl_str_mv 2019-07-03T02:15:32Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2389-8976
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/66504
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/67532/
identifier_str_mv ISSN: 2389-8976
url https://repositorio.unal.edu.co/handle/unal/66504
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dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/estad/article/view/53580
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística
Revista Colombiana de Estadística
dc.relation.references.spa.fl_str_mv Doğru, Fatma Zehra and Arslan, Olcay (2017) Robust mixture regression based on the skew t distribution. Revista Colombiana de Estadística, 40 (1). pp. 45-64. ISSN 2389-8976
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/66504/1/53580-314859-1-PB.pdf
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