Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data
type: Item
instance of: scholarly article
title: Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data
zbMATH Open document ID: 1477.62307
author: Antonio Mario Arrizza
author: Alberto Caimo
published in: Statistical Methods and Applications
publication date: 2022-01-14T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 7457589
zbMATH Keywords: COVID-19 patient movements
zbMATH Keywords: relational events
zbMATH Keywords: dynamic network actor models
zbMATH Keywords: Bayesian inference
describes a project that uses: goldfish
MaRDI profile type: Publication
full work available at URL: s10260-021-00599-x
OpenAlex ID: W3210213069
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DOI: 10.1007/S10260-021-00599-X
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description: scientific article; zbMATH DE number 7457589