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A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy
The main determinants of COVID-19 spread in Italy are investigated, in this work, by means of a D-vine copula based quantile regression. The outcome is the COVID-19 cumulative infection rate registered on October 30th 2020, with reference to the 107 Italian provinces, and it is regressed on some cov...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744361/ https://www.ncbi.nlm.nih.gov/pubmed/35036295 http://dx.doi.org/10.1016/j.spasta.2021.100586 |