5 citations · 8 across the 6 of their papers we have counts for
Showing stat.APShow all
3 papers · 1 filter
stat.AP2022★ 5 cited
Hot-spots Detection in Count Data by Poisson Assisted Smooth Sparse Tensor Decomposition
Yujie Zhao, Xiaoming Huo, Yajun Mei
Count data occur widely in many bio-surveillance and healthcare applications, e.g., the numbers of new patients of different types of infectious diseases from different cities/coun…
stat.AP2020★ 1 cited
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…
stat.AP2020★ 1 cited
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,…