PAIS Lab seminar: Markov chains and their applications // Vladimir Kovtunovskiy

At the session of our seminar, Vladimir Kovtunovskiy (Bachelor's student at the HSE CS Faculty) delivered a report "Markov chains and their applications".

Abstract: 

Markov chains are a sequence of random events with a finite number of outcomes, characterized by the property that the future of the state is independent of the past. The report examines the basic definitions and concepts related to Markov chains, and numerous applications of this model in various fields. Also briefly discussed "hidden Markov model" that simulates the operation of the process, like a Markov process, but is used for other purposes.