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This lecture covers the concept of Markov processes, transition densities, and the distribution of Xt+1 conditional on the information at time t. It also discusses the transition matrix, transition probabilities, and the Chapman-Kolmogorov equation. The instructor explains the classification of states, stationary distributions, and limiting distributions in Markov chains.