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Doubly robust and efficient estimators for heteroscedastic partially linear single-index models allowing high dimensional covariates

We study the heteroscedastic partially linear single-index model with an unspecified error variance function, which allows for high dimensional covariates in both the linear and the single-index components of the mean function. We propose a class of consistent estimators of the parameters by using a...

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Detalles Bibliográficos
Main Authors: Ma, Yanyuan, Zhu, Liping
Formato: Artigo
Idioma:Inglês
Publicado: 2013
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3747813/
https://ncbi.nlm.nih.gov/pubmed/23970823
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9868.2012.01040.x
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