1 citations · 2 across the 4 of their papers we have counts for
4 papers
Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection
Jiuyun Hu, Yajun Mei, Sarah Holte +1
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 re…
Rapid Detection of Hot-spots via Tensor Decomposition with applications to Crime Rate Data
Yujie Zhao, Hao Yan, Sarah Holte +1
We propose an efficient statistical method (denoted as SSR-Tensor) to robustly and quickly detect hot-spots that are sparse and temporal-consistent in a spatial-temporal dataset th…
Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
Yujie Zhao, Hao Yan, Sarah E. Holte +2
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, daily/weekly/monthly. In these applications,…
A Consistent Direct Method for Estimating Parameters in Ordinary Differential Equations Models
Sarah E. Holte
Ordinary differential equations provide an attractive framework for modeling temporal dynamics in a variety of scientific settings. We show how consistent estimation for parameters…