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,...

Full description

Bibliographic Details
Main Authors: Frederic Grabowski, Paweł Nałęcz-Jawecki, Tomasz Lipniacki
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-37939-8