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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |