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_28
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20054577 doi: medRxiv preprint distribution 4 which was transformed back to the original scale after the end of the simulation. 30 million samples from the posterior were obtained with every 300 th step retained (i.e. we had a thinning parameter of 300). We used improper uniform priors for all parameters except for the df parameter for which a shifted exponential with mea.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20054577 doi: medRxiv preprint distribution 4 which was transformed back to the original scale after the end of the simulation. 30 million samples from the posterior were obtained with every 300 th step retained (i.e. we had a thinning parameter of 300). We used improper uniform priors for all parameters except for the df parameter for which a shifted exponential with mean equal to 30 was specified as suggested by Kruschke (2012) .
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