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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Detalles Bibliográficos
Autores principales: Manevski, Damjan, Ružić Gorenjec, Nina, Kejžar, Nataša, Blagus, Rok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2020
Materias:
Original Research Article
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

Internet

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

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