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Penalized maximum likelihood estimation for Gaussian hidden Markov models
Authors:Grigory Alexandrovich
Institution:1. Fachbereich Mathematik und Informatik, Philipps-Universit?t Marburg, Marburg, Germanyalexandrovich@mathematik.uni-marburg.de
Abstract:ABSTRACT

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.
Keywords:Consistency  Gaussian hidden Markov models  Penalized maximum likelihood  
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