On nonparametric conditional quantile estimation for non-stationary spatial

被引：0

作者：

Kanga, Serge Hippolyte Arnaud ^{[1
]}

Hili, Ouagnina ^{[1
]}

Dabo-Niang, Sophie ^{[2
]}

机构：

[1] Inst Natl Polytech Felix Houphouet Boigny, UMRI Math & Nouvelles Technol Informat, BP 1093, Yamoussoukro, Cote Ivoire

[2] Univ Lille, INRIA MODAL, UMR CNRS 8524, Lab Paul Painleve, Lille, France

来源：

COMPTES RENDUS MATHEMATIQUE | 2023年 / 361卷 / 01期

关键词：

PREDICTION;

D O I：

10.5802/crmath.400

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

A kernel conditional quantile estimate of a real-valued non-stationary spatial process is proposed for a prediction goal at a non-observed location of the underlying process. The originality is based on the ability to take into account some local spatial dependency. Large sample properties based on almost complete and L-q-consistencies of the estimator are established.

引用

页码：847 / 852

页数：6

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