138 citations · 169 across the 4 of their papers we have counts for
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stat.ME2022★ 27 cited
Evaluating Forecasts with scoringutils in R
Nikos I. Bosse, Hugo Gruson, Anne Cori +3
Evaluating forecasts is essential to understand and improve forecasting and make forecasts useful to decision makers. A variety of R packages provide a broad variety of scoring rul…
stat.ME2022★ 3 cited
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States
Evan L. Ray, Logan C. Brooks, Jacob Bien +12
The U.S. COVID-19 Forecast Hub aggregates forecasts of the short-term burden of COVID-19 in the United States from many contributing teams. We study methods for building an ensembl…