UDC 519.21
1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
 knopov1@yahoo.com
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2 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
samosyonok@gmail.com
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3 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
bila.galyna@gmail.com
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A MODEL OF INFECTIOUS DISEASE SPREAD WITH HIDDEN CARRIER
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 is considered. 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.
Keywords: Markov fields, local interaction of field elements, Gibbs distribution, unknown parameters, estimation algorithm.
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