Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence 'labeling' problems 1,2. They provide a conceptual toolkit for building complex models just by ...
This is a preview. Log in through your library . Abstract This paper considers maximum likelihood (ML) estimation in a large class of models with hidden Markov regimes. We investigate consistency of ...
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