2023
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts
Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw Porebski, Srinivasan Venkatramanan +2
AAAI 2023technical
Despite hundreds of methods published in the literature, forecasting epidemic dynamics remains challenging yet important. The challenges stem from multiple sources, including: the need for timely data, co-evolution of epidemic dynamics with behavioral and immunological adaptations, and the evolution…