Lecture 6: From Poisson to Markov

Name: Lecture 6: From Poisson to Markov
Uploaded: 2012-06-29T19:44:57Z
Duration: 1 h 19 min 17 s
Description: 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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Lecture 7: Finite-state Markov Chains; The Matrix Approach

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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