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

页码：815 / 819

页数：5

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