Lecture
Markov Chains: Introduction and Properties
In course
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Description
This lecture introduces Markov chains, discussing elementary properties such as the transition matrix, communicating classes, and stochastic processes. It covers the definition of a stochastic process, probability vectors, and transition matrices. The lecture also explores the Markov property, equivalence theorems, and consequences of Markov chains.
Instructor
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Official source
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