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Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
Variable-length Markov chains (VLMCs) are a flexible class of higher-order Markov models that admit a natural representation as context trees. Existing Bayesian methods for specifying prior distributions on trees rely on branching processes, but these suffer from a fundamental limitation: the connec
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