Variable selection for semiparametric varying coefficient partially linear models

By Peixin Zhao, Liugen Xue. 2009

73 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/866d1322d241992f3346554ad2b37bea9745de7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Jicai Liu
2. Huixia Judy Wang
3. Riquan Zhang
4. Yanlin Tang
5. Xinyuan Song
6. Zhongyi Zhu
7. Yazhao Lv
8. Weihua Zhao

In Statistics and Probability

1. Huixia Judy Wang
2. Jicai Liu
3. Riquan Zhang
4. Yanlin Tang
5. Xinyuan Song
6. Zhongyi Zhu
7. Yazhao Lv
8. Weihua Zhao

Citations in the corpus

• A UNIFIED VARIABLE SELECTION APPROACH FOR VARYING COEFFICIENT MODELS (2012, methodology): “Assuming a partially linear varying coefficient model where the varying and constant coefficients are separated a priori, Zhao and Xue (2009) proposed methods for selecting variables in the parametric components and in the nonparametric components separately.”
• Robust and efficient variable selection for semiparametric partially linear varying coefficient model based on modal regression (2013, methodology): “Xie and Huang (2009) discussed SCAD-penalized regression in partially linear models, which is a special case of SPLVCM. Zhao and Xue (2009) investigated a selection procedure via SCAD which can select parametric components and nonparametric components simultaneously based on B-spline for SPLVCM.”