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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/2245| CoViD19 Meta heuristicoptimization based forecast methodon time dependent bootstrappeddata | |
| Livio Fenga. Carlo Del Castello. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.1101/2020.04.02.20050153 | |
| A compounded method, exploiting the searching capabilities of an operation research algorithm and the power of bootstrap techniques, is presented. The resulting algorithm has been successfully tested to predict the turning point reached by the epidemic curve followed by the CoViD19 virus in Italy. Futures lines of research, which include the generalization of the method to a broad set of distribution, will be finally given. | |
| www.medrxiv.org | |
| 2020 | |
| Artículo | |
| https://www.medrxiv.org/content/10.1101/2020.04.02.20050153v2.full.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 1101340.pdf | 1.41 MB | Adobe PDF | Visualizar/Abrir |