Abstract
The authors consider an algorithm for estimating the unknown parameters of the infection spread model based on the Markov field tools using the maximum likelihood method. It is assumed that each state of the Markov chain represents some configuration of a finite random Markov field, and the probability distribution of the chain states is the same as general probability distribution of the states of elements of the Gibbs random field.
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The research was carried out with a partial support of the National Research Foundation of Ukraine (grant No. 2020.02/0121).
Translated from Kibernetyka ta Systemnyi Analiz, No. 4, July–August, 2021, pp. 166–176.
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Knopov, P.S., Samosonok, O.S. & Bilà, G.D. A Model of Infectious Disease Spread with Hidden Carriers*. Cybern Syst Anal 57, 647–655 (2021). https://doi.org/10.1007/s10559-021-00390-6
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DOI: https://doi.org/10.1007/s10559-021-00390-6