Asymptotic Classification Error for Heavy-Tailed Renewal Processes
Machine Learning
2025-10-01 v2 Machine Learning
Statistics Theory
Statistics Theory
Abstract
Despite the widespread occurrence of classification problems and the increasing collection of point process data across many disciplines, study of error probability for point process classification only emerged very recently. Here, we consider classification of renewal processes. We obtain asymptotic expressions for the Bhattacharyya bound on misclassification error probabilities for heavy-tailed renewal processes.
Cite
@article{arxiv.2408.10502,
title = {Asymptotic Classification Error for Heavy-Tailed Renewal Processes},
author = {Xinhui Rong and Victor Solo},
journal= {arXiv preprint arXiv:2408.10502},
year = {2025}
}
Comments
12 pages, 2 figures. In IEEE Signal Processing Letters