A Model of Infectious Disease Spread with Hidden Carriers

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 probabil...

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Veröffentlicht in:Cybernetics and systems analysis 2021-07, Vol.57 (4), p.647-655
Hauptverfasser: Knopov, P. S., Samosonok, O. S., Bilà, G. D.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial Intelligence
Computer Engineering
Control
Fields (mathematics)
Infectious diseases
Informatics
Markov chains
Mathematics
Mathematics and Statistics
Maximum likelihood method
New Means of Cybernetics
Parameter estimation
Probability distribution
Processor Architectures
Software Engineering/Programming and Operating Systems
Systems Analysis
Systems Theory
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Zusammenfassung: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.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-021-00390-6