COVID-19: Metaheuristic Optimization-Based Forecast Method on Time-Dependent Bootstrapped Data

Livio Fenga and Carlo Del Castello

Journal of Probability and Statistics, 2021, vol. 2021, 1-7

Abstract:

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 COVID-19 virus in Italy. Future lines of research, which include the generalization of the method to a broad set of distribution, will be finally given.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljps:1235973

DOI: 10.1155/2021/1235973

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