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Spatial kernel regression estimation: weak consistency
Lu, ZD; Chen, X
2004-06-15
发表期刊STATISTICS & PROBABILITY LETTERS
ISSN0167-7152
卷号68期号:2页码:125-136
摘要In this paper, we introduce a kernel method to estimate a spatial conditional regression under mixing spatial processes. Some preliminary statistical properties including weak consistency and convergence rates are investigated. The sufficient conditions on mixing coefficients and the bandwidth are established to ensure distribution-free weak consistency, which requires no assumption on the regressor and allows the mixing coefficients decreasing to zero slowly. However, to achieve an optimal convergence rate, some requirements on the regressor and the decreasing rate of mixing coefficients tending to zero are needed. (C) 2003 Published by Elsevier B.V.
关键词bandwidth kernel estimator spatial regression mixing spatial processes weak consistency and rates
DOI10.1016/j.spl.2003.08.014
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000222150400001
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/19583
专题中国科学院数学与系统科学研究院
通讯作者Lu, ZD
作者单位1.Chinese Acad Sci, MADIS, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Yunnan Univ, Dept Stat, Kunming, Peoples R China
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Lu, ZD,Chen, X. Spatial kernel regression estimation: weak consistency[J]. STATISTICS & PROBABILITY LETTERS,2004,68(2):125-136.
APA Lu, ZD,&Chen, X.(2004).Spatial kernel regression estimation: weak consistency.STATISTICS & PROBABILITY LETTERS,68(2),125-136.
MLA Lu, ZD,et al."Spatial kernel regression estimation: weak consistency".STATISTICS & PROBABILITY LETTERS 68.2(2004):125-136.
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