Variable selection in semiparametric regression analysis for longitudinal data

被引:0
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作者
Peixin Zhao
Liugen Xue
机构
[1] Hechi University,Department of Mathematics
[2] Beijing University of Technology,College of Applied Sciences
关键词
Semiparametric regression model; Longitudinal data; Variable selection;
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摘要
In this paper, we present a variable selection procedure by using basis function approximations and a partial group SCAD penalty for semiparametric varying coefficient partially linear models with longitudinal data. With appropriate selection of the tuning parameters, we establish the oracle property of this procedure. A simulation study is undertaken to assess the finite sample performance of the proposed variable selection procedure.
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页码:213 / 231
页数:18
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