This lecture covers continuous-time Markov chains, focusing on the equations developed by Kolmogorov. Topics include transition probabilities, exponential distributions, and the evolution of states over time.
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Covers Markov processes, transition densities, and distribution conditional on information, discussing classification of states and stationary distributions.
