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Lecture
Markov Chains Decomposition
Description
This lecture covers the decomposition of Markov chains into communicating classes, determining their properties such as closedness, aperiodicity, and recurrence/transience. It also explores the existence of invariant distributions and the behavior of long-run averages.
Official source
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