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Density estimation for spatial linear processes
Hallin, M; Lu, ZD; Tran, LT
2001-08-01
发表期刊BERNOULLI
ISSN1350-7265
卷号7期号:4页码:657-668
摘要The problem of estimating the marginal densities of a spatial linear process, observed over a grid of Z(N), is considered. Under general conditions, kernel density estimators computed at any k-tuple of sites are shown to be asymptotically multivariate normal. Their limiting covariance matrix is also computed. Despite the huge development of nonparametric estimation methods in the analysis of time series data, little has so far been done to introduce them into the context of random fields. The generalization is far from trivial since the points of Z(N) do not have a natural ordering when N>1. No mixing conditions are required, but linearity is assumed.
关键词bandwidth density estimation kernel spatial process
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000170789300007
出版者INT STATISTICAL INST
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/16253
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.Chinese Acad Sci, Inst Syst Sci, Beijing 100080, Peoples R China
3.Indiana Univ, Dept Math, Bloomington, IN 47405 USA
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Hallin, M,Lu, ZD,Tran, LT. Density estimation for spatial linear processes[J]. BERNOULLI,2001,7(4):657-668.
APA Hallin, M,Lu, ZD,&Tran, LT.(2001).Density estimation for spatial linear processes.BERNOULLI,7(4),657-668.
MLA Hallin, M,et al."Density estimation for spatial linear processes".BERNOULLI 7.4(2001):657-668.
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