most citedInferring Markov Chains: Bayesian Estimation, Model Comparison, Entropy Rate, and Out-of-class Modeling

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math.ST2007★ 66 cited

Inferring Markov Chains: Bayesian Estimation, Model Comparison, Entropy Rate, and Out-of-class Modeling

Christopher C. Strelioff, James P. Crutchfield, Alfred W. Hubler

Markov chains are a natural and well understood tool for describing one-dimensional patterns in time or space. We show how to infer -th order Markov chains, for arbitrary , f…