SCAD-penalized regression in high-dimensional partially linear models
نویسندگان
چکیده
منابع مشابه
SCAD-Penalized Regression in High-Dimensional Partially Linear Models
We consider the problem of simultaneous variable selection and estimation in partially linear models with a divergent number of covariates in the linear part, under the assumption that the vector of regression coefficients is sparse. We apply the SCAD penalty to achieve sparsity in the linear part and use polynomial splines to estimate the nonparametric component. Under reasonable conditions, i...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2009
ISSN: 0090-5364
DOI: 10.1214/07-aos580