Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States()

Delay differential equations form the underpinning of many complex dynamical systems. The forward problem of solving random differential equations with delay has received increasing attention in recent years. Motivated by the challenge to predict the COVID-19 caseload trajectories for individual sta...

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Detalles Bibliográficos
Autores principales: Dubey, Paromita, Chen, Yaqing, Gajardo, Álvaro, Bhattacharjee, Satarupa, Carroll, Cody, Zhou, Yidong, Chen, Han, Müller, Hans-Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494512/
https://www.ncbi.nlm.nih.gov/pubmed/34642503
http://dx.doi.org/10.1016/j.jmaa.2021.125677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494512/
https://www.ncbi.nlm.nih.gov/pubmed/34642503
http://dx.doi.org/10.1016/j.jmaa.2021.125677

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