Penalized maximum likelihood estimation for Gaussian hidden Markov models
Grigory Alexandrovich · Communication in Statistics- Theory and Methods · 2016
The likelihood function of a Gaussian hidden Markov model is unbounded, which is why the maximum likelihood estimator (MLE) is not consistent. A penalized MLE is introduced along with a rigorous consistency proof.