Baseline Accuracies of Forecasting COVID-19 Cases in Russian Regions on a Year in Retrospect Using Basic Statistical and Machine Learning Methods

The large amount of data accumulated so far on the dynamics of the COVID-19 outbreak has allowed assessing the accuracy of forecasting methods in retrospect. This work compares several basic time series analysis methods, including machine learning methods, for forecasting the number of confirmed cas...

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Detalles Bibliográficos
Autores principales: Naumov, A.V., Moloshnikov, I.A., Serenko, A.V., Sboev, A.G., Rybka, R.B.
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/PMC8602972/
https://www.ncbi.nlm.nih.gov/pubmed/34815816
http://dx.doi.org/10.1016/j.procs.2021.10.028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602972/
https://www.ncbi.nlm.nih.gov/pubmed/34815816
http://dx.doi.org/10.1016/j.procs.2021.10.028

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