Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing

DOI10.1080/02664763.2021.1928016arXiv2006.01333MaRDI QIDQ6078140

Shan Yu, Lei Gao, Guannan Wang, Zhiling Gu, Myungjin Kim, Yueying Wang, Li Wang, Xinyi Li

Publication date: 27 September 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.01333

zbMATH Keywords

data integrationanomaly detectioncount time seriesdata comparisonoutlier correctionCoronavirus

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Cites Work

• Unnamed Item
• Mathematical epidemiology.
• Thinning operations for modeling time series of counts -- a survey
• Handbook of Spatial Epidemiology

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