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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...
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| Publicado no: | Math Biosci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Published by Elsevier Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7482592/ https://ncbi.nlm.nih.gov/pubmed/32920095 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mbs.2020.108466 |
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