Real-time forecasting of epidemic trajectories using computational dynamic ensembles
Forecasting the trajectory of social dynamic processes, such as the spread of infectious diseases, poses significant challenges that call for methods that account for data and model uncertainty. Here we introduce an ensemble model for sequential forecasting that weights a set of plausible models and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-03-01
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| Series: | Epidemics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436519301112 |