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New efficient spline estimation for varying-coefficient models with two-step knot number selection
Metrika ( IF 0.7 ) Pub Date : 2020-10-03 , DOI: 10.1007/s00184-020-00798-8
Jun Jin , Tiefeng Ma , Jiajia Dai

One of the advantages for the varying-coefficient model is to allow the coefficients to vary as smooth functions of other variables and the coefficients functions can be estimated easily through a simple B-spline approximations method. This leads to a simple one-step estimation procedure. We show that such a one-step method cannot be optimal when some coefficient functions possess different degrees of smoothness. Under the regularity conditions, the consistency and asymptotic normality of the two step B-spline estimators are also derived. A few simulation studies show that the gain by the two-step procedure can be quite substantial. The methodology is illustrated by an AIDS data set.

中文翻译:

具有两步结数选择的变系数模型的新有效样条估计

变系数模型的优点之一是允许系数随着其他变量的平滑函数而变化,并且可以通过简单的 B 样条近似方法轻松估计系数函数。这导致一个简单的一步估计过程。我们表明,当一些系数函数具有不同程度的平滑度时,这种一步法不能是最优的。在正则条件下,也推导出了两步B样条估计量的一致性和渐近正态性。一些模拟研究表明,两步程序的增益可能相当可观。该方法由艾滋病数据集说明。
更新日期:2020-10-03
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