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Lecture 6: From Poisson to Markov

Description: This lecture treats joint conditional densities for Poisson processes and then defines finite-state Markov chains. Recurrent and transient states, periodic states, and ergodic chains are discussed.

(Courtesy of Mina Karzand. Used with permission.)

Instructor: Mina Karzand

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From Poisson to Markov ( PDF)

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