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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concept of ergodicity and stationary distribution in Markov chains, focusing on the convergence properties of the chains and the existence of a unique stationary distribution. The instructor discusses the conditions under which Markov chains exhibit ergodic behavior and how the stationary distribution can be calculated. Various examples and exercises are provided to illustrate these concepts.