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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/2258| Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy | |
| Paolo Girardi. Luca Greco. Valentina Mameli. Monica Musio. Walter Racugno. Erlis Ruli. Laura Ventura. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://arxiv.org/pdf/2004.03187v2.pdf | |
| We discuss an approach for fitting robust nonlinear regression models, which can be employed to model and predict the contagion dynamics of the Covid-19 in Italy. The focus is on the analysis of epidemic data using robust dose-response curves, but the functionality is applicable to arbitrary nonlinear regression models. | |
| arxiv.org | |
| 2020 | |
| Artículo | |
| https://arxiv.org/pdf/2004.03187v2.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| 1101362.pdf | 355.12 kB | Adobe PDF | Visualizar/Abrir |