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

Aniruddha Adiga, Lijing Wang 0001, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav Marathe. All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. In Feida Zhu 0002, Beng Chin Ooi, Chunyan Miao, editors, KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021. pages 2505-2513, ACM, 2021. [doi]

Abstract

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