Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences
Parameter inference and uncertainty quantification are important steps when relating mathematical models to real-world observations and when estimating uncertainty in model predictions. However, methods for doing this can be computationally expensive, particularly when the number of unknown model pa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2024-08-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.240733 |