Countable State Space Markov Random Fields and Markov Chains on Trees

  • Zachary S
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Abstract

896 STAN ZACHARY Theorem 2.1. Let the Markov random field P on (SA, ¡F) have trivial tail a-field. Then P is a Markov chain. Proof. We must show that for each V e тГ *, W С V, xw e Sw, (2.2) Р{Ы= xw/nV\W)} = P{tw=xw/nVndW)}. Consider any U e "V such that V С U. We ...

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Zachary, S. (2007). Countable State Space Markov Random Fields and Markov Chains on Trees. The Annals of Probability, 11(4). https://doi.org/10.1214/aop/1176993439

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