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Bayesian time‐varying autoregressive models of COVID‐19 epidemics
The COVID‐19 pandemic has highlighted the importance of reliable statistical models which, based on the available data, can provide accurate forecasts and impact analysis of alternative policy measures. Here we propose Bayesian time‐dependent Poisson autoregressive models that include time‐varying c...
Autores principales: | Giudici, Paolo, Tarantino, Barbara, Roy, Arkaprava |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394436/ https://www.ncbi.nlm.nih.gov/pubmed/35876399 http://dx.doi.org/10.1002/bimj.202200054 |
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