Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea

This paper deals with time series analysis for COVID-19 in South Korea. We adopt heterogeneous autoregressive (HAR) time series models and discuss the statistical inference for various COVID-19 data. Seven data sets such as cumulative confirmed (CC) case, cumulative recovered (CR) case and cumulativ...

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Detalles Bibliográficos
Autores principales: Hwang, Eunju, Yu, SeongMin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378995/
https://www.ncbi.nlm.nih.gov/pubmed/34458082
http://dx.doi.org/10.1016/j.rinp.2021.104631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378995/
https://www.ncbi.nlm.nih.gov/pubmed/34458082
http://dx.doi.org/10.1016/j.rinp.2021.104631

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