Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression

This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model. In this context, the methods used to obtain the estimators are ridge, lasso, adaptive lasso, SCAD, MCP, and el...

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Detalles Bibliográficos
Autores principales: Ahmed, Syed Ejaz, Aydın, Dursun, Yılmaz, Ersin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778259/
https://www.ncbi.nlm.nih.gov/pubmed/36554238
http://dx.doi.org/10.3390/e24121833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778259/
https://www.ncbi.nlm.nih.gov/pubmed/36554238
http://dx.doi.org/10.3390/e24121833

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