Shrinkage estimation for identification of linear components in additive models
In this short paper, we demonstrate that the popular penalized estimation method typically used for variable selection in parametric or semiparametric models can actually provide a way to identify linear components in additive models. Unlike most studies in the literature, we are NOT performing vari...
Main Author: | Lian, Heng |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/96354 http://hdl.handle.net/10220/11922 |
Similar Items
-
Shrinkage estimation and selection for multiple functional regression
by: Lian, Heng
Published: (2014) -
Variable selection in high-dimensional partly linear additive models
by: Lian, Heng
Published: (2013) -
Generalized additive partial linear models with high-dimensional covariates
by: Lian, Heng, et al.
Published: (2014) -
Semiparametric estimation of additive quantile regression models by two-fold penalty
by: Lian, Heng
Published: (2013) -
Estimation by polynomial splines with variable selection in additive Cox models
by: Zhang, Shangli, et al.
Published: (2013)