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_14
Snippet: Still, the Bayesian analysis gives slightly wider intervals for the estimates which as we'll see below is a positive. Table 1 . The values on the x-axis represents number of days since the initial data point used in our model (March the 4th)......
Document: Still, the Bayesian analysis gives slightly wider intervals for the estimates which as we'll see below is a positive. Table 1 . The values on the x-axis represents number of days since the initial data point used in our model (March the 4th).
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