Author: Francisco Perez-Reche; Norval Strachan
Title: Importance of untested infectious individuals for the suppression of COVID-19 epidemics Document date: 2020_4_17
ID: i2rmc37q_63
Snippet: Our fitting procedure aims at calculating the posterior probability density function for the parameters given the data, ( | obs ). To this end, we use an approximate Bayesian algorithm which follows the same steps as the minimum distance method proposed by Perez-Reche et al. 49 ; the only difference being that here we use a likelihood function to quantify the similarity of simulated and observed time series instead of a quadratic distance......
Document: Our fitting procedure aims at calculating the posterior probability density function for the parameters given the data, ( | obs ). To this end, we use an approximate Bayesian algorithm which follows the same steps as the minimum distance method proposed by Perez-Reche et al. 49 ; the only difference being that here we use a likelihood function to quantify the similarity of simulated and observed time series instead of a quadratic distance.
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