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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. (C) 2016 Elsevier B.V. All rights reserved.
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STATISTICS & PROBABILITY LETTERS
ISSN： 0167-7152
Year： 2016
Volume： 119
Page： 84-90
0 . 8 0 0
JCR@2022
ESI Discipline： MATHEMATICS;
ESI HC Threshold：71
CAS Journal Grade：4
Cited Count：
WoS CC Cited Count： 2
SCOPUS Cited Count： 2
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 3
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