All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav Marathe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Fingerprint

Dive into the research topics of 'All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting'. Together they form a unique fingerprint.

Keyphrases

Computer Science

Earth and Planetary Sciences

Economics, Econometrics and Finance

Psychology