Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement

This paper is devoted to modeling and predicting COVID-19 confirmed cases through a multiple linear regression. Especially, prediction intervals of the COVID-19 cases are extensively studied. Due to long-memory feature of the COVID-19 data, a heterogeneous autoregression (HAR) is adopted with Growth...

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Detalles Bibliográficos
Autor principal: Hwang, Eunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720534/
https://www.ncbi.nlm.nih.gov/pubmed/35002103
http://dx.doi.org/10.1016/j.chaos.2021.111789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720534/
https://www.ncbi.nlm.nih.gov/pubmed/35002103
http://dx.doi.org/10.1016/j.chaos.2021.111789

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