Analysis of sloppiness in model simulations: Unveiling parameter uncertainty when mathematical models are fitted to data

This work introduces a comprehensive approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the combination of prior beliefs and data. This approach identifies stiff parameter combinations strongly affecting the quality of the model-data fit while simultan...

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Detalles Bibliográficos
Autores principales: Monsalve-Bravo, Gloria M., Lawson, Brodie A. J., Drovandi, Christopher, Burrage, Kevin, Brown, Kevin S., Baker, Christopher M., Vollert, Sarah A., Mengersen, Kerrie, McDonald-Madden, Eve, Adams, Matthew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Social and Interdisciplinary Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491719/
https://www.ncbi.nlm.nih.gov/pubmed/36129974
http://dx.doi.org/10.1126/sciadv.abm5952

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491719/
https://www.ncbi.nlm.nih.gov/pubmed/36129974
http://dx.doi.org/10.1126/sciadv.abm5952

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