Abstract
We characterise the class of distributions of random stochastic matrices X with the property that the products X(n)X(n - 1) · · · X(1) of independent and identically distributed copies X(k) of X converge almost surely as n → ∞ and the limit is Dirichlet distributed. This extends a result by Chamayou and Letac (1994) and is illustrated by several examples that are of interest in applications.
Citation
S. McKinlay. "A characterisation of transient random walks on stochastic matrices with Dirichlet distributed limits." J. Appl. Probab. 51 (2) 542 - 555, June 2014. https://doi.org/10.1239/jap/1402578642
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