Humboldt-Universität zu Berlin - Statistics

Humboldt-Universität zu Berlin | School of Business and Economics | Statistics | News | Paper "Second-order characteristics for spatial point processes with graph-valued marks" by Eckardt, Ghorbanpour and Särkkä at arXiv

Paper "Second-order characteristics for spatial point processes with graph-valued marks" by Eckardt, Ghorbanpour and Särkkä at arXiv



The paper Second-order characteristics for spatial point processes with graph-valued marks by Eckardt, M., Ghorbanpour, F., and Särkkä, A. has been published at ArXiv.

 

Abstract

The immense progress in data collection and storage capacities have yielded rather complex, challenging spatial event-type data, where each event location is augmented by a non-simple mark. Despite the growing interest in analysing such complex event patterns, the methodology for such analysis is not embedded well in the literature. In particular, the literature lacks statistical methods to analyse marks which are characterised by an inherent relational structure, i.e.\ where the mark is graph-valued. Motivated by epidermal nerve fibre data, we introduce different mark summary characteristics, which investigate the average variation or association between pairs of graph-valued marks, and apply some of the methods to the nerve data.