The Markov Chain Tree Theorem is a result in probability theory that provides a method for calculating the probabilities of certain paths or transitions in a Markov chain by leveraging the structure of a tree. Specifically, it deals with the concept of expressing the stationary distribution of a Markov chain in terms of the transition probabilities and a tree structure, which can simplify computations and enhance understanding of the dynamics of the chain.
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