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Lecture
Markov Chains: Recurrence and Transience
Description
This lecture covers the concepts of first passage times, strong Markov property, and recurrence/transience in Markov chains. It explains the hitting time of states, the behavior of chains conditional on certain events, and the classification of states as recurrent or transient based on return probabilities.
Official source
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