Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria

Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulat...

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Detalles Bibliográficos
Autores principales: Reiker, Theresa, Golumbeanu, Monica, Shattock, Andrew, Burgert, Lydia, Smith, Thomas A., Filippi, Sarah, Cameron, Ewan, Penny, Melissa A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664949/
https://www.ncbi.nlm.nih.gov/pubmed/34893600
http://dx.doi.org/10.1038/s41467-021-27486-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664949/
https://www.ncbi.nlm.nih.gov/pubmed/34893600
http://dx.doi.org/10.1038/s41467-021-27486-z

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