AMS 309 Lecture 4: Absorbing Markov Chains and Random Walk ModelS

Institution MURANG'A UNIVERSITY
Course AMS 309: STOCHASTIC...
Year 1st Year
Semester Unknown
Posted By Liz Ochola
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Description

An absorbing Markov Chain contains only absorbing and transient states. If the number of states is finite, a Markov process starting from any transient state will eventually end in one of the absorbing states. Suppose that there are s absorbing states and t transient states so that the transition matrix P is order (s + t).
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