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Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data |
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| Authors: | Arrizza Antonio Mario Caimo Alberto |
| Affiliation: | 1.University of Bologna, Bologna, Italy ;2.Technological University Dublin, Dublin, Ireland ; |
| Abstract: | Statistical Methods & Applications - Motivated by the ongoing COVID-19 pandemic, this article introduces Bayesian dynamic network actor models for the analysis of infected individuals’... |
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