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...
- 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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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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
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http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
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 http://bdigital.unal.edu.co/67532/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
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 https://repositorio.unal.edu.co/bitstream/unal/66504/2/53580-314859-1-PB.pdf.jpg |
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