Point Patterns Occurring on Complex Structures in Space and Space-Time: An Alternative Network Approach

被引：9

作者：

Eckardt, Matthias ^{[1
]}

Mateu, Jorge ^{[2
]}

机构：

[1] Humboldt Univ, Dept Comp Sci, D-10099 Berlin, Germany

[2] Univ Jaume 1, Dept Math, Castellon de La Plana, Spain

来源：

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS | 2018年 / 27卷 / 02期

关键词：

Clustering; Directed networks; Graphs; Multivariate spatial point processes; Multivariate spatiotemporal point processes; Partially directed networks; SPATIAL STATISTICAL-MODELS; CENTRAL LIMIT-THEOREMS; 2ND-ORDER ANALYSIS;

D O I：

10.1080/10618600.2017.1391695

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This article presents an alternative approach of analyzing possibly multitype point patterns in space and space-time that occur on network structures, and it introduces several different graph-related intensity measures. The proposed formalism allows us to control for processes on undirected, directional, as well as partially directed network structures and is not restricted to linearity or circularity. Supplementary materials for this article are available online. See Supplements section at the end for a description and link.

引用

页码：312 / 322

页数：11

共 42 条

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