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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Bibliographic Details
Published in:Bulletin of mathematical biology Vol. 86; no. 1; p. 2
Main Authors: Shuttleworth, Joseph G., Lei, Chon Lok, Whittaker, Dominic G., Windley, Monique J., Hill, Adam P., Preston, Simon P., Mirams, Gary R.
Format: Journal Article
Language:English
Published: New York Springer US 01.01.2024
Springer Nature B.V
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ISSN:0092-8240, 1522-9602, 1522-9602
Online Access:Get full text
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