Abstract
All existing approximations for the stationary distribution of a nearly completely decomposable Markov chain are based on solving systems which are perturbations of the exact system. We develop here an original approximation which is based on probabilistic intuition. A series expansion of the accrued error is given as well.
| Original language | English |
|---|---|
| Pages (from-to) | 589-593 |
| Number of pages | 5 |
| Journal | Siam Journal on Algebraic and Discrete Methods |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 1986 |
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