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

https://mediaspace.epfl.ch/media/0_pyct5kvm

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