Quantifying uncertainty, variability and likelihood for ordinary differential equation models

BACKGROUND: In many applications, ordinary differential equation (ODE) models are subject to uncertainty or variability in initial conditions and parameters. Both, uncertainty and variability can be quantified in terms of a probability density function on the state and parameter space. RESULTS: The...

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Detalles Bibliográficos
Autores principales: Weiße, Andrea Y, Middleton, Richard H, Huisinga, Wilhelm
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987882/
https://www.ncbi.nlm.nih.gov/pubmed/21029410
http://dx.doi.org/10.1186/1752-0509-4-144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987882/
https://www.ncbi.nlm.nih.gov/pubmed/21029410
http://dx.doi.org/10.1186/1752-0509-4-144

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