3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.AP2023
Evaluating infectious disease forecasts with allocation scoring rules
Aaron Gerding, Nicholas G. Reich, Benjamin Rogers +1
Recent years have seen increasing efforts to forecast infectious disease burdens, with a primary goal being to help public health workers make informed policy decisions. However, t…
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…