Nonparametric estimation of conditional mode in the spatial case

被引：2
|
作者：
Abdi, Ahmedoune Ould [1 ]
Diop, Aliou [1 ]
Dabo-Niang, Sophie [2 ]
Abdi, Sidi Ali Ould [1 ]
机构：
[1] Univ Gaston Berger, UFR SAT, Lab LERSTAD, St Louis, Senegal
[2] Univ Lille 3, Lab EQUIPPE, F-59653 Villeneuve Dascq, France
来源：
COMPTES RENDUS MATHEMATIQUE | 2010年 / 348卷 / 13-14期
关键词：
KERNEL DENSITY-ESTIMATION; RANDOM-FIELDS; REGRESSION ESTIMATION;
D O I：
10.1016/j.crma.2010.06.017
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Let (Z(i) = (X(i), Y(i)) is an element of R(d) x R, i is an element of Z(N)) be a multivariate spatial process, and consider a kernel estimation of the conditional mode of Y(i) given X(i). We establish a 2r (r is an element of N*) mean and almost complete consistency results of the kernel estimator under some general conditions. (C) 2010 Academic des sciences. Publie par Elsevier Masson SAS. Tous droits reserves.
引用
收藏
页码：815 / 819
页数：5
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