[HTML][HTML] Early detection of change patterns in COVID-19 incidence and the implementation of public health policies: a multi-national study

SS Coughlin, A Yiǧiter, H Xu, AE Berman… - Public Health in Practice, 2021 - Elsevier
Objectives The COVID-19 pandemic caused by the novel SARS-CoV-2 coronavirus has
drastically altered the global realities. Harnessing national scale data from the COVID-19 …

[HTML][HTML] onlineBcp: An R package for online change point detection using a Bayesian approach

H Xu, A Yiğiter, J Chen - SoftwareX, 2022 - Elsevier
Change point analysis has been useful for practical data analytics. In this paper, we provide
a new R package, onlineBcp, based on an online Bayesian change point detection …

Statistical considerations on NGS data for inferring copy number variations

J Chen - Deep Sequencing Data Analysis, 2021 - Springer
The next-generation sequencing (NGS) technology has revolutionized research in genetics
and genomics, resulting in massive NGS data and opening more fronts to answer …

A novel online change point detection using an approximate random blanket and the line process energy

A Belcaid, M Douimi - International Journal on Artificial Intelligence …, 2020 - World Scientific
In this paper, we focus on the problem of change point detection in piecewise constant
signals. This problem is central to several applications such as human activity analysis …