Markov Chains: Ergodic Chains Examples

In course

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Description

This lecture covers stochastic models for communications, focusing on discrete-time Markov chains. Topics include ergodic chains, examples of irreducible, ergodic, aperiodic, and recurrent positive chains. The lecture also discusses stationary distribution, transition probabilities, and properties of Markov chains.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_8m2n9p8a

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