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Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data
In the paper, we propose a semiparametric framework for modeling the COVID-19 pandemic. The stochastic part of the framework is based on Bayesian inference. The model is informed by the actual COVID-19 data and the current epidemiological findings about the disease. The framework combines many avail...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482592/ https://www.ncbi.nlm.nih.gov/pubmed/32920095 http://dx.doi.org/10.1016/j.mbs.2020.108466 |