Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection. (arXiv:2208.05045v1 [cs.LG])

In this paper, we present an efficient statistical method (denoted as
"Adaptive Resources Allocation CUSUM") to robustly and efficiently detect the
hotspot with limited sampling resources. Our main idea is to combine the
multi-arm bandit (MAB) and change-point detection methods to balance the
exploration and exploitation of resource allocation for hotspot detection.
Further, a Bayesian weighted update is used to update the posterior
distribution of the infection rate. Then, the upper confidence bound (UCB) is
used for resource allocation and …

application arxiv binomial count covid covid-19 data detection lg monitoring resources