Cargando…
Feature Screening for High-Dimensional Variable Selection in Generalized Linear Models
The two-stage feature screening method for linear models applies dimension reduction at first stage to screen out nuisance features and dramatically reduce the dimension to a moderate size; at the second stage, penalized methods such as LASSO and SCAD could be applied for feature selection. A majori...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296932/ https://www.ncbi.nlm.nih.gov/pubmed/37372195 http://dx.doi.org/10.3390/e25060851 |