VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA

We consider the variable selection problem for a class of statistical models with missing data, including missing covariate and/or response data. We investigate the smoothly clipped absolute deviation penalty (SCAD) and adaptive LASSO and propose a unified model selection and estimation procedure fo...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Garcia, Ramon I., Ibrahim, Joseph G., Zhu, Hongtu
Formato: Artigo
Lenguaje:Inglês
Publicado: 2010
Materias:
Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC2844735/
https://ncbi.nlm.nih.gov/pubmed/20336190
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares