• Corpus ID: 231603213

# Optimal network online change point localisation

@article{Yu2021OptimalNO,
title={Optimal network online change point localisation},
author={Yi Yu and Oscar Hernan Madrid Padilla and Daren Wang and Alessandro Rinaldo},
journal={ArXiv},
year={2021},
volume={abs/2101.05477}
}
• Published 14 January 2021
• Computer Science, Mathematics
• ArXiv
We study the problem of online network change point detection. In this setting, a collection of independent Bernoulli networks is collected sequentially, and the underlying distributions change when a change point occurs. The goal is to detect the change point as quickly as possible, if it exists, subject to a constraint on the number or probability of false alarms. In this paper, on the detection delay, we establish a minimax lower bound and two upper bounds based on NP-hard algorithms and…

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