All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting-Reference-Cited by-同舟云学术

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

Published:2021-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Adiga Aniruddha¹,Wang Lijing¹,Hurt Benjamin¹,Peddireddy Akhil¹,Porebski Przemyslaw¹,Venkatramanan Srinivasan¹,Lewis Bryan Leroy¹,Marathe Madhav¹

Affiliation:

1. University of Virginia, Charlottesville, VA, USA

Funder

University of Virginia Strategic Investment Fund

NSF BIG DATA

Defense Threat Reduction Agency

Virginia Department of Health

NSF (National Science Foundation)

NSF RAPID

US Centers for Disease Control and Prevention

NSF Expeditions in Computing

National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467197

Reference47 articles.

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