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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 behavior of continuous-time Markov chains, focusing on the asymptotic properties such as irreducibility, positive recurrence, and convergence to a stationary distribution. The lecture also discusses the limiting behavior of the chain over time and the conditions for convergence. Topics include the asymptotic behavior of the chain, convergence to a stationary distribution, and the properties of irreducibility and positive recurrence.
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