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Lecture
Markov Chains: Definitions and Transitions
Description
This lecture covers the definitions and properties of Markov chains, focusing on random processes, transition matrices, state spaces, and stationary distributions. It explains the concept of chain homogeneity, transition probabilities, and the uniqueness of stationary distributions.
Official source
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