Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City
Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City
Epidemiological models contain a set of parameters that must be adjusted based on available observations. Once a model has been calibrated, it can be used as a forecasting tool to make predictions and to evaluate contingency plans. It is customary to employ only point estimators for such predictions. However, some …