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_31
Snippet: Finally, Table 6 specifies the predictive distributions for the next 7 days and for the estimate for the final cumulative number of infectees. We see that this model accurately predicts at least three future data points. In the next several days we should be able to observe how the model deals with data points further away in time. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a.....
Document: Finally, Table 6 specifies the predictive distributions for the next 7 days and for the estimate for the final cumulative number of infectees. We see that this model accurately predicts at least three future data points. In the next several days we should be able to observe how the model deals with data points further away in time. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
Search related documents:
Co phrase search for related documents- cc NC ND International license and International license: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- cc NC ND International license and predictive distribution: 1, 2, 3, 4
- cumulative number and International license: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- International license and predictive distribution: 1, 2, 3, 4, 5
Co phrase search for related documents, hyperlinks ordered by date