Estimation of Spatiotemporal Poisson Processes with Some Missing Location Data
Methodology
2024-11-26 v3 Statistics Theory
Computation
Statistics Theory
Abstract
We consider models for spatiotemporal Poisson processes with some missing location data. We discuss four models that make provision for missing location data, and their estimation. The corresponding code is available on GitHub as an extension of LASPATED at https://github.com/vguigues/LASPATED/Missing_Data. We tested our models using the process of emergency call arrivals to an emergency medical service where the emergency reports often omit the location of the emergency. We show the difference made by using models that make provision for missing location data.
Cite
@article{arxiv.2410.11103,
title = {Estimation of Spatiotemporal Poisson Processes with Some Missing Location Data},
author = {Vincent Guigues and Anton Kleywegt and Victor Hugo Nascimento and Lucas Lucas Rafael de Andrade},
journal= {arXiv preprint arXiv:2410.11103},
year = {2024}
}