Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics
When using mathematical models to make quantitative predictions for clinical or industrial use, it is important that predictions come with a reliable estimate of their accuracy (uncertainty quantification). Because models of complex biological systems are always large simplifications, model discrepa...
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| Published in: | Bulletin of mathematical biology Vol. 86; no. 1; p. 2 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Springer US
01.01.2024
Springer Nature B.V |
| Subjects: | |
| ISSN: | 0092-8240, 1522-9602, 1522-9602 |
| Online Access: | Get full text |
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