| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1151462 | Statistics & Probability Letters | 2016 | 7 Pages |
Abstract
We propose a novel variable selection for varying coefficient models with longitudinal data. The theoretical properties of the resulting estimators are established. In addition, simulation studies and a real data set are conducted to evaluate the proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Ruiqin Tian, Liugen Xue, Dengke Xu,