COVID-19: Metaheuristic Optimization-Based Forecast Method on Time-Dependent Bootstrapped Data-Reference-Cited by-同舟云学术

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

Published:2021-02-11 Issue: Volume:2021 Page:1-7
ISSN:1687-9538
Container-title:Journal of Probability and Statistics
language:en
Short-container-title:Journal of Probability and Statistics

Author:

Fenga Livio¹^ORCID,Del Castello Carlo²^ORCID

Affiliation:

1. Italian National Institute of Statistics ISTAT, Rome 00184, Italy

2. Kantar Group Ltd., Bologna, Italy

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.

Publisher

Hindawi Limited

Subject

Statistics and Probability

Link

http://downloads.hindawi.com/journals/jps/2021/1235973.pdf

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