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Journal Articles Japanese Journal of Statistics and Data Science Year : 2022

Analysis of COVID-19 evolution based on testing closeness of sequential data

Abstract

A practical algorithm has been developed for closeness analysis of sequential data that combines closeness testing with algorithms based on the Markov chain tester. It was applied to reported sequential data for COVID-19 to analyze the evolution of COVID-19 during a certain time period (week, month, etc.).
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Origin : Publication funded by an institution

Dates and versions

hal-04446656 , version 1 (08-02-2024)

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Tomoko Matsui, Nourddine Azzaoui, Daisuke Murakami. Analysis of COVID-19 evolution based on testing closeness of sequential data. Japanese Journal of Statistics and Data Science , 2022, 5 (1), pp.321-338. ⟨10.1007/s42081-021-00144-w⟩. ⟨hal-04446656⟩
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