Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences

Parameter inference and uncertainty quantification are important steps when relating mathematical models to real-world observations and when estimating uncertainty in model predictions. However, methods for doing this can be computationally expensive, particularly when the number of unknown model pa...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Michael J. Plank, Matthew J. Simpson
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	The Royal Society 2024-08-01
Schriftenreihe:	Royal Society Open Science
Schlagworte:	environmental modelling epidemic model maximum-likelihood estimation optimization predator–prey model profile likelihood
Online-Zugang:	https://royalsocietypublishing.org/doi/10.1098/rsos.240733
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