CSpace
Kernel density estimation for spatial processes: the L-1 theory
Hallin, M; Lu, ZD; Tran, LT
2004
发表期刊JOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
卷号88期号:1页码:61-75
摘要The purpose of this paper is to investigate kernel density estimators for spatial processes with linear or nonlinear structures. Sufficient conditions for such estimators to converge in L-1 are obtained under extremely general, verifiable conditions. The results hold for mixing as well as for nonmixing processes. Potential applications include testing for spatial interaction, the spatial analysis of causality structures, the definition of leading/lagging sites, the construction of clusters of comoving sites, etc. (C) 2003 Elsevier Science (USA). All rights reserved.
关键词bandwidth kernel density estimator L-1 theory spatial linear or nonlinear processes
DOI10.1016/S0047-259X(03)00060-5
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000187785400004
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/951
专题中国科学院数学与系统科学研究院
通讯作者Hallin, M
作者单位1.Free Univ Brussels, ISRO, B-1050 Brussels, Belgium
2.Free Univ Brussels, ECARES, B-1050 Brussels, Belgium
3.Free Univ Brussels, Dept Math, B-1050 Brussels, Belgium
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
5.Indiana Univ, Dept Math, Bloomington, IN 47405 USA
推荐引用方式
GB/T 7714
Hallin, M,Lu, ZD,Tran, LT. Kernel density estimation for spatial processes: the L-1 theory[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2004,88(1):61-75.
APA Hallin, M,Lu, ZD,&Tran, LT.(2004).Kernel density estimation for spatial processes: the L-1 theory.JOURNAL OF MULTIVARIATE ANALYSIS,88(1),61-75.
MLA Hallin, M,et al."Kernel density estimation for spatial processes: the L-1 theory".JOURNAL OF MULTIVARIATE ANALYSIS 88.1(2004):61-75.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Hallin, M]的文章
[Lu, ZD]的文章
[Tran, LT]的文章
百度学术
百度学术中相似的文章
[Hallin, M]的文章
[Lu, ZD]的文章
[Tran, LT]的文章
必应学术
必应学术中相似的文章
[Hallin, M]的文章
[Lu, ZD]的文章
[Tran, LT]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。