ML-ABC: Machine-learning assisted Approximate Bayesian Computation for efficient calibration of agent-based models for pandemic outbreak analysis
Mathematical modelling with agent-based models (ABMs) has gained popularity during the COVID-19 pandemic, but their complexity makes efficient and robust calibration to data challenging, particularly when applying Bayesian methods to quantify parameter uncertainty. We propose a method for calibratin...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
Elsevier
2026-03-01
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| Sraith: | Epidemics |
| Ábhair: | |
| Rochtain ar líne: | http://www.sciencedirect.com/science/article/pii/S1755436525000696 |
| Clibeanna: |
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