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Author: Svetoslav Bliznashki
Title: A Bayesian Logistic Growth Model for the Spread of COVID-19 in New York
  • Document date: 2020_4_7
  • ID: lhv83zac_13
    Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20054577 doi: medRxiv preprint explained above) in order to avoid clutter. The same is true for the scale parameter described in Section 4 ( . We see that the estimates are very similar to the posterior EAPs reported above which is to be expected given the uninformative nature of our priors......
    Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20054577 doi: medRxiv preprint explained above) in order to avoid clutter. The same is true for the scale parameter described in Section 4 ( . We see that the estimates are very similar to the posterior EAPs reported above which is to be expected given the uninformative nature of our priors.

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