Predictive power of non-identifiable models
Abstract Resolving practical non-identifiability of computational models typically requires either additional data or non-algorithmic model reduction, which frequently results in models containing parameters lacking direct interpretation. Here, instead of reducing models, we explore an alternative,...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-37939-8 |