Abstract
AbstractA 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.).
Funder
research organization of information and systems
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics and Probability
Reference28 articles.
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