NONPARAMETRIC REGRESSION FOR CONTINUOUS-TIME PROCESS

被引：0
|
作者：
CHEZE, N [1 ]
机构：
[1] UNIV PARIS 06,STAT THEORIQUE & APPL LAB,F-75230 PARIS 05,FRANCE
来源：
COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE | 1992年 / 315卷 / 09期
关键词：
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We introduce a kernel regression estimator for a continuous-time mixing process. We study the uniform almost sure convergence, quadratic-mean convergence and asymptotic normality for this estimator.
引用
收藏
页码：1009 / 1012
页数：4
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