Forecasting virus diffusion with simple Bayesian forecast combination

Published: June 11, 2020, 8:25 p.m.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.06.10.144006v1?rss=1 Authors: Franses, P. H. Abstract: There are various diffusion models for S shaped processes like virus diffusion and these models are typically not nested. In this note it is proposed to combine the forecasts using a simple Bayesian forecast combination algorithm. An illustration to daily data on cumulative Covid-19 cases in the Netherlands shows the ease of use of the algorithm and the accuracy of the thus combined forecasts. Copy rights belong to original authors. Visit the link for more info