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_13
Snippet: To investigate the relationship between the 2-step-ahead and the 1-step-ahead prediction errors by state, Figure 2 shows the March 31 1-step-ahead prediction errors, made on March 30, on the y-axis, versus the March 31 2-step-ahead prediction errors, made on March 29, on the x-axis. 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 3 . CC-BY 4.0 Inte.....
Document: To investigate the relationship between the 2-step-ahead and the 1-step-ahead prediction errors by state, Figure 2 shows the March 31 1-step-ahead prediction errors, made on March 30, on the y-axis, versus the March 31 2-step-ahead prediction errors, made on March 29, on the x-axis. 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 3 . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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