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Parameter identification in epidemiological models
We develop a Bayesian inference framework to estimate parameters in epidemiological models with quantified uncertainty. We consider SEIJR models involving populations of susceptible, exposed, infective, diagnosed, dead, and recovered individuals, and infer from data all the parameter models, in part...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212250/ http://dx.doi.org/10.1016/B978-0-32-390504-6.00012-7 |