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Efficient Bayesian inference for stochastic agent-based models

The modelling of many real-world problems relies on computationally heavy simulations of randomly interacting individuals or agents. However, the values of the parameters that underlie the interactions between agents are typically poorly known, and hence they need to be inferred from macroscopic obs...

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Detalles Bibliográficos
Autores principales: Jørgensen, Andreas Christ Sølvsten, Ghosh, Atiyo, Sturrock, Marc, Shahrezaei, Vahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576090/
https://www.ncbi.nlm.nih.gov/pubmed/36197919
http://dx.doi.org/10.1371/journal.pcbi.1009508