Abstract
Let (Yk)k∈Z be a stationary sequence on a probability space (Ω,A,P) taking values in a standard Borel space Y. Consider the associated maximum likelihood estimator with respect to a parametrized family of hidden Markov models such that the law of the observations (Yk)k∈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.
| Original language | English |
|---|---|
| Pages (from-to) | 2697-2732 |
| Number of pages | 36 |
| Journal | Annals of Statistics |
| Volume | 40 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Oct 2012 |
Keywords
- Hidden Markov models
- Maximum likelihood estimator
- Misspecified models
- State space models
- Strong consistency