Forecast and evaluation of COVID-19 spreading in USA with reduced-space Gaussian process regression

In this report, we analyze historical and forecast infections for COVID-19 death based on Reduced-Space Gaussian Process Regression associated to chaotic Dynamical Systems with information obtained in 82 days with continuous learning, day by day, from January 21(th), 2020 to April 12(th). According...

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Detalles Bibliográficos
Autores principales: Arias Velásquez, Ricardo Manuel, Mejía Lara, Jennifer Vanessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242925/
https://www.ncbi.nlm.nih.gov/pubmed/32501372
http://dx.doi.org/10.1016/j.chaos.2020.109924

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242925/
https://www.ncbi.nlm.nih.gov/pubmed/32501372
http://dx.doi.org/10.1016/j.chaos.2020.109924

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