IEEE Transactions on Signal Processing · 1999 · 20 citations · 20 references
EngineeringComputer ScienceAlgorithmsProbability TheoryStochastic ModelingBayesian InferenceHidden Markov ModelsMarkov ChainsMarkov ProcessesMaximum Likelihood EstimationParameter EstimationBaum-welch AlgorithmDirect EstimationEm AlgorithmEstimation Of Hidden StatesInference In Hidden Markov ModelsRate ConstantsTime-varying Transition ProbabilitiesTransition Probabilities
The EM algorithm, e.g., the Baum-Welch (1970) re-estimation, is an important tool for parameter estimation in discrete-time hidden Markov models. We present a direct re-estimation of rate constants for applications in which the underlying Markov process is continuous in time. Previous estimation of discrete-time transition probabilities is not necessary.
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Jörg Breitung, James D. Hamilton · Contemporary Sociology A Journal of Reviews · 1995 · 11.2K citations