Hidden Markov models (HMMs) provide a robust statistical framework for analysing sequential data by assuming that the observed processes are driven by underlying, unobserved states. These models have ...
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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