Real-time mechanistic Bayesian forecasts of COVID-19 mortality is a research paper published in The Annals of Applied Statistics (2023). On theSindex it has a DataRank of 0. It has been cited 17 times.
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National Science Foundation
Grant: 1749854
CAREER: From Data to Knowledge and Decisions for Global-Scale Ecological Sustainability
National Institutes of Health
Grant: 1R35GM119582-01
Statistical methods for real-time forecasts of infectious disease: dynamic time-series and machine learning approaches
NIGMS NIH HHS
Grant: R35 GM119582
Fields of Study
Keywords
Sustainable Development Goals