Asymptotic properties of the maximum likelihood estimation in misspecified hidden Markov models
The Annals of Statistics · 2012 · Volume 40 · Issue 5
Abstract
Let $(Y_{k})_{k\in\mathbb{Z}}$ be a stationary sequence on a probability space $(\Omega,\mathcal{A},\mathbb{P})$ taking values in a standard Borel space $\mathsf{Y}$. Consider the associated maximum likelihood estimator with respect to a parametrized family of hidden Markov models such that the law of the observations $(Y_{k})_{k\in\mathbb{Z}}$ is not assumed to be described by any of the hidden Markov models of this family. In this paper we investigate the consistency of this estimator in such misspecified models under mild assumptions.
Keywords
62F12, 62M09, Hidden Markov models, maximum likelihood estimator, misspecified models, state space models, strong consistency
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