3 papers
stat.AP2026
Collaborative estimation and evaluation of SARS-CoV-2 variant nowcasting in the United States
Isaac MacArthur, Thomas Robacker, Bren Case +27
The ability to estimate and predict pathogen variant dynamics can inform public health responses, including planning for increased transmission or severity, shifts in population im…
stat.CO2026
modelimportance: An R package for evaluating model importance within a multi-model ensemble
Minsu Kim, Li Shandross, Evan L. Ray +1
Ensemble forecasts are commonly used to support decision-making and policy planning across various fields because they often offer improved accuracy and stability compared to indiv…
stat.ME2024
Beyond forecast leaderboards: Measuring individual model importance based on contribution to ensemble accuracy
Minsu Kim, Evan L. Ray, Nicholas G. Reich
Ensemble forecasts often outperform forecasts from individual standalone models, and have been used to support decision-making and policy planning in various fields. As collaborati…