Published November 13, 2023
| Version v1.1
Software
Open
Empirical Quantification of Model Discrepancy
- 1. University of Nottingham
- 2. University of Macau
Description
Code associated with the paper "Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics", Bulletin of Mathematical Biology (2023) Joseph G. Shuttleworth, Chon Lok Lei, Dominic G. Whittaker, Monique J. Windley, Adam P. Hill, Simon P. Preston and Gary R. Mirams.
Correction to Figure 4
Other
If you use this software, please cite it using the preferred citation below.Files
CardiacModelling/empirical_quantification_of_model_discrepancy-v1.1.zip
Files
(1.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:fb6e5cea553fcba3bcbc0e739bae44f4
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Additional details
Related works
- Is supplement to
- Software: https://github.com/CardiacModelling/empirical_quantification_of_model_discrepancy/tree/v1.1 (URL)