Lecture

Ergodic Theory: Markov Chains

Description

This lecture covers the concept of ergodic theory applied to Markov chains, focusing on irreducibility, aperiodicity, and the existence of unique stationary distributions. The instructor explains the conditions for a chain to be irreducible and aperiodic, leading to the existence of a single stationary distribution.

Official source

https://mediaspace.epfl.ch/media/0_fra2ein6

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Ontological neighbourhood

Statistics

Statistical inference: Bayesian inference, Mathematical statistics

Communication studies

Mass communication: Topics in mass communication

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