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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Pages	10 Pages
File Size	463.66 KB
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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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