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  • 标题:Efficient Shrinkage Estimation about the Partially Linear Varying Coefficient Model with Random Effect for Longitudinal Data
  • 本地全文:下载
  • 作者:Wanbin Li
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2016
  • 卷号:06
  • 期号:05
  • 页码:862-872
  • DOI:10.4236/ojs.2016.65071
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, an efficient shrinkage estimation procedure for the partially linear varying coefficient model (PLVC) with random effect is considered. By selecting the significant variable and estimating the nonzero coefficient, the model structure specification is accomplished by introducing a novel penalized estimating equation. Under some mild conditions, the asymptotic properties for the proposed model selection and estimation results, such as the sparsity and oracle property, are established. Some numerical simulation studies and a real data analysis are presented to examine the finite sample performance of the procedure.
  • 关键词:Partially Linear Varying Coefficient Model;Mixed Effect;Penalized Estimating Equation
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