Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data

Motivated by the ongoing COVID-19 pandemic, this article introduces Bayesian dynamic network actor models for the analysis of infected individuals’ movements in South Korea during the first three months of 2020. The relational event data modelling framework makes use of network statistics capturing...

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Detalles Bibliográficos
Autores principales: Arrizza, Antonio Mario, Caimo, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531917/
https://www.ncbi.nlm.nih.gov/pubmed/34703409
http://dx.doi.org/10.1007/s10260-021-00599-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531917/
https://www.ncbi.nlm.nih.gov/pubmed/34703409
http://dx.doi.org/10.1007/s10260-021-00599-x

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