Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data

Semiparametric generalized varying coefficient partially linear models with longitudinal data arise in contemporary biology, medicine, and life science. In this paper, we consider a variable selection procedure based on the combination of the basis function approximations and quadratic inference fun...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jinghua, Xue, Liugen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556090/
https://www.ncbi.nlm.nih.gov/pubmed/33082838
http://dx.doi.org/10.1155/2020/3505306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556090/
https://www.ncbi.nlm.nih.gov/pubmed/33082838
http://dx.doi.org/10.1155/2020/3505306

Ejemplares similares