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Learning differential equation models from stochastic agent-based model simulations

Agent-based models provide a flexible framework that is frequently used for modelling many biological systems, including cell migration, molecular dynamics, ecology and epidemiology. Analysis of the model dynamics can be challenging due to their inherent stochasticity and heavy computational require...

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Detalles Bibliográficos
Publicado en:J R Soc Interface
Main Authors: Nardini, John T., Baker, Ruth E., Simpson, Matthew J., Flores, Kevin B.
Formato: Artigo
Idioma:Inglês
Publicado: The Royal Society 2021
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8086865/
https://ncbi.nlm.nih.gov/pubmed/33726540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2020.0987
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