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Discrete Markov chains and Markov processes. Classification of states and chains/processes. Stationary distributions and convergence. Absorbing states and absorption times. Simulation and inference. The Poisson processes on the real line and more general spaces. Additional material.
More information can be found at http://www.maths.lth.se/course/fms180masc03/