Chimeric forecasting: combining probabilistic predictions from computational models and human judgment
Abstract Forecasts of the trajectory of an infectious agent can help guide public health decision making. A traditional approach to forecasting fits a computational model to structured data and generates a predictive distribution. However, human judgment has access to the same data as...
Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
BioMed Central
2022
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Online Access: | https://hdl.handle.net/1721.1/146367 |