Modeling of the forecast values of probabilities of state systems using Markov chains

Автор: Gasparyan A.F., Tsakhoeva A.F.

Журнал: Форум молодых ученых @forum-nauka

Статья в выпуске: 12-2 (28), 2018 года.

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The article is devoted to Markov chains. Markov chains are a fairly common and relatively simple method of statistical modeling of random processes. They are used in many different areas, from text generation to financial modeling. The article presented the Markov chain model, on the basis of which the example was solved, where the probability of a computer state is found after 3 inspections.

Probability theory, random processes, prediction, markov chains, transition probability, probability state

Короткий адрес: https://sciup.org/140281107

IDR: 140281107

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