Point processes in a metric space
Probability
2016-11-24 v2
Abstract
As a useful and elegant tool of extreme value theory, the study of point processes on a metric space is important and necessary for the analyses of heavy-tailed functional data. This paper focuses on the definition and properties of such point processes. A complete convergence result for a regularly varying iid sequence in a metric space is proved as an example of the application in extreme value theory.
Cite
@article{arxiv.1611.06995,
title = {Point processes in a metric space},
author = {Yuwei Zhao},
journal= {arXiv preprint arXiv:1611.06995},
year = {2016}
}