Seven principles for rapid-response data science: lessons learned from COVID-19 forecasting

DOI10.1214/22-STS855OpenAlexW3194155124MaRDI QIDQ2143953

Yanyan Li

Publication date: 31 May 2022

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2108.08445

zbMATH Keywords

coronavirusforecastingcounty-leveldata-science

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Data science in a time of crisis: lessons from the pandemic

Uses Software

• Scikit
• Statsmodels
• imodels

Cites Work

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