Модель розповсюдження інфекційних захворювань з прихованими носіями / Кнопов П. С., Самосьонок О. С., Біла Г. Д. (2021)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2021, 57 (4))

Knopov P.S., Samosonok O.S., Bilà G.D.
A model of infectious disease spread with hidden carriers

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. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: estimation algorithm, Gibbs distribution, local interaction of field elements, Markov fields, unknown parameters, Maximum likelihood, Gibbs random field, Infection spread modeling, Infectious disease, Maximum likelihood methods, Markov chains


Cite:
Knopov P.S., Samosonok O.S., Bilà G.D. (2021). A model of infectious disease spread with hidden carriers. Cybernetics and Systems Analysis, 57 (4), 166–176. doi: https://doi.org/10.1007/s10559-021-00390-6 http://jnas.nbuv.gov.ua/article/UJRN-0001254221 [In Ukrainian].


 

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