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文章基本信息

  • 标题:Parametric Estimation for Semi-varying Coefficient Model via Penalized Spline
  • 本地全文:下载
  • 作者:Guo Haibing ; Zhao MingtaoZhao ; Li Lianqing
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2016
  • 卷号:9
  • 期号:12
  • 页码:187-200
  • 出版社:SERSC
  • 摘要:A semi-varying coefficient model, a type of semi-parametric model between the linear model and the varying coefficient model offers a good flexibility and has become an important tool for exploring the dynamic patterns in many areas of research, including economics, finance and biomedical research. This paper proposes a new estimation method for semi-varying coefficient models based on the roughness penalized spline approach. Asymptotic properties of their estimators are also obtained. The penalized spline estimation method is applied to an economic example using a semi-varying coefficient model.
  • 关键词:Semi-varying coefficient model; Spline; Average mean square error ;(AMSE); Confidence Band
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