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 |
| File Type | |
| Pages | 10 Pages |
| File Size | 463.66 KB |
| Views | 8680 |
| Downloads | 2 |
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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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