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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 invariant distributions in Markov chains, discussing recurrent and transient states, the strong Markov property, and the asymptotic behavior of Markov chains. It also explores the conditions for a chain to approach equilibrium and the importance of periodicity and aperiodicity in determining convergence. The lecture concludes with practical applications such as PageRank in Google's ranking algorithm.