Compressing redundant information in Markov chains

Mathematics – Probability

Scientific paper

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8 pages, 1 figure

Scientific paper

Given a strongly stationary Markov chain and a finite set of stopping rules,
we prove the existence of a polynomial algorithm which projects the Markov
chain onto a minimal Markov chain without redundant information. Markov
complexity is hence defined and tested on some classical problems.

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