Thinning-Stable Point Processes as a Model for Spatial Burstiness
Applications
2025-05-12 v3 Probability
Abstract
In modern telecommunications, spatial burstiness of data traffic poses challenges to traditional Poisson-based models. This paper describes application of thinning-stable point processes, which provide a more appropriate framework for modeling bursty spatial data. We discuss their properties, representation, inference methods, and applications, demonstrating the advantages over classical approaches.
Cite
@article{arxiv.2505.00717,
title = {Thinning-Stable Point Processes as a Model for Spatial Burstiness},
author = {Sergei Zuyev},
journal= {arXiv preprint arXiv:2505.00717},
year = {2025}
}
Comments
7 pages, 2 figures. Accepted for WiOpt+25 Conference