Author: Matsui, Tomoko; Azzaoui, Nourddine; Murakami, Daisuke
Title: Analysis of COVID-19 evolution based on testing closeness of sequential data Cord-id: pwdysbpg Document date: 2021_6_30
ID: pwdysbpg
Snippet: 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.).
Document: 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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