Robust estimators in partly linear regression models on Riemannian manifolds
- Autores
- Henry, Guillermo Sebastian; Rodriguez, Daniela Andrea
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination.
Fil: Henry, Guillermo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santalo". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santalo"; Argentina
Fil: Rodriguez, Daniela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santalo". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santalo"; Argentina - Materia
-
Partial linear model
Robust estimators
Riemannian Manifolds - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/18733
Ver los metadatos del registro completo
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Robust estimators in partly linear regression models on Riemannian manifoldsHenry, Guillermo SebastianRodriguez, Daniela AndreaPartial linear modelRobust estimatorsRiemannian Manifoldshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination.Fil: Henry, Guillermo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santalo". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santalo"; ArgentinaFil: Rodriguez, Daniela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santalo". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santalo"; ArgentinaTaylor2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18733Henry, Guillermo Sebastian; Rodriguez, Daniela Andrea; Robust estimators in partly linear regression models on Riemannian manifolds ; Taylor; Communications In Statistics-theory And Methods; -1-2014; 1-160361-0926CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/03610926.2013.775302info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/03610926.2013.775302info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1008.0446info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:38Zoai:ri.conicet.gov.ar:11336/18733instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:39.595CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Robust estimators in partly linear regression models on Riemannian manifolds |
title |
Robust estimators in partly linear regression models on Riemannian manifolds |
spellingShingle |
Robust estimators in partly linear regression models on Riemannian manifolds Henry, Guillermo Sebastian Partial linear model Robust estimators Riemannian Manifolds |
title_short |
Robust estimators in partly linear regression models on Riemannian manifolds |
title_full |
Robust estimators in partly linear regression models on Riemannian manifolds |
title_fullStr |
Robust estimators in partly linear regression models on Riemannian manifolds |
title_full_unstemmed |
Robust estimators in partly linear regression models on Riemannian manifolds |
title_sort |
Robust estimators in partly linear regression models on Riemannian manifolds |
dc.creator.none.fl_str_mv |
Henry, Guillermo Sebastian Rodriguez, Daniela Andrea |
author |
Henry, Guillermo Sebastian |
author_facet |
Henry, Guillermo Sebastian Rodriguez, Daniela Andrea |
author_role |
author |
author2 |
Rodriguez, Daniela Andrea |
author2_role |
author |
dc.subject.none.fl_str_mv |
Partial linear model Robust estimators Riemannian Manifolds |
topic |
Partial linear model Robust estimators Riemannian Manifolds |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination. Fil: Henry, Guillermo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santalo". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santalo"; Argentina Fil: Rodriguez, Daniela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santalo". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santalo"; Argentina |
description |
Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/18733 Henry, Guillermo Sebastian; Rodriguez, Daniela Andrea; Robust estimators in partly linear regression models on Riemannian manifolds ; Taylor; Communications In Statistics-theory And Methods; -1-2014; 1-16 0361-0926 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/18733 |
identifier_str_mv |
Henry, Guillermo Sebastian; Rodriguez, Daniela Andrea; Robust estimators in partly linear regression models on Riemannian manifolds ; Taylor; Communications In Statistics-theory And Methods; -1-2014; 1-16 0361-0926 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1080/03610926.2013.775302 info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/03610926.2013.775302 info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1008.0446 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Taylor |
publisher.none.fl_str_mv |
Taylor |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842268873453207552 |
score |
13.13397 |