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连续时间下非参数回归模型的误差密度估计的渐近均方误差
引用本文:吴明新,沈家.连续时间下非参数回归模型的误差密度估计的渐近均方误差[J].应用数学,2003,16(1):116-120.
作者姓名:吴明新  沈家
作者单位:复旦大学统计系,上海,200433
基金项目:TheprojectsupportedbytheNationalNaturalScienceFoundationofChina(199710 15 )
摘    要:本文研究了连续时间下非参数回归的误差官度估计的收敛速度,给出了一定条件下误差密度的估计量^fT(x)的均方收敛速度,详细说明了以下重要结果:E^fT(x)-f(x)]^2=O(T^-1/4)其中f(x)表示误差过程{et,t≥0}的未知密度。

关 键 词:连续时间  非参数回归模型  误差密度估计  渐近均方误差  收敛速度  均方收敛

The Asymptotic Quadric Error of the Error-Density Estimator of Nonparameteric Regression in Continuous Time Processes
WU Ming-xin,SHEN Jia.The Asymptotic Quadric Error of the Error-Density Estimator of Nonparameteric Regression in Continuous Time Processes[J].Mathematica Applicata,2003,16(1):116-120.
Authors:WU Ming-xin  SHEN Jia
Abstract:In this paper,we are mainly concerned with the rate of convergence of the error-density estimator of nonparametric regression in continuous time.We have proved that under suitable conditions the kernel density estimator fT satisfies EfT(x)-f(x)]2 = O(T-1/4),where f denotes the unknown density of the error process {e ,t ≥ 0}.
Keywords:Rate of convergence  error-density estimator  Continuous-time regression model  mean square convergence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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