Abstract
We propose new methods which combine aggregation with point and block iterative techniques for computing the stationary probability vector of a finite ergodic Markov chain. These techniques are also compared numerically with several methods which have recently appeared in the literature for the class of nearly completely decomposable Markov chains.
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