Author: Roman Marchant; Noelle I Samia; Ori Rosen; Martin A Tanner; Sally Cripps
Title: Learning as We Go: An Examination of the Statistical Accuracy of COVID19 Daily Death Count Predictions Document date: 2020_4_17
ID: ijac68gh_10
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint The colors in the graph correspond to different subsets of the data; red corresponds to those locations where the actual number of deaths was above the 1-step-ahead 95% PI upper limit, blue corresponds to those locations where the actual number of deaths was below the 1-step-ahead 95% PI lower limit, while grey corresponds to those locations where the actual number of dea.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint The colors in the graph correspond to different subsets of the data; red corresponds to those locations where the actual number of deaths was above the 1-step-ahead 95% PI upper limit, blue corresponds to those locations where the actual number of deaths was below the 1-step-ahead 95% PI lower limit, while grey corresponds to those locations where the actual number of deaths was within the the 1-step-ahead 95% PI.
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