Forecasting covid-19 counts at a single hospital: A hierarchical bayesian approach.
Published in Poster in ICLR 2021 Workshop on Machine Learning for Preventing and Combating Pandemics, 2021
Recommended citation: Lee, A. H., Lymperopoulos, P., Cohen, J. T., Wong, J. B., & Hughes, M. C. (2021). Forecasting covid-19 counts at a single hospital: A hierarchical bayesian approach.Poster in ICLR 2021 Workshop on Machine Learning for Preventing and Combating Pandemics, arXiv preprint arXiv:2104.09327. https://arxiv.org/abs/2104.09327
A bayesian model for forecasting the daily number of hospitalized COVID-19 patients at a single hospital site.
Recommended citation: Lee, A. H., Lymperopoulos, P., Cohen, J. T., Wong, J. B., & Hughes, M. C. (2021). Forecasting covid-19 counts at a single hospital: A hierarchical bayesian approach.Poster in ICLR 2021 Workshop on Machine Learning for Preventing and Combating Pandemics, arXiv preprint arXiv:2104.09327.