A complete solution to Blackwell's unique ergodicity problem for hidden Markov chains

Pavel Chigansky*, Ramon Van Handel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

We develop necessary and sufficient conditions for uniqueness of the invariant measure of the filtering process associated to an ergodic hidden Markov model in a finite or countable state space. These results provide a complete solution to a problem posed by Blackwell (1957), and subsume earlier partial results due to Kaijser, Kochman and Reeds. The proofs of our main results are based on the stability theory of nonlinear filters.

Original languageEnglish
Pages (from-to)2318-2345
Number of pages28
JournalAnnals of Applied Probability
Volume20
Issue number6
DOIs
StatePublished - Dec 2010

Keywords

  • Asymptotic stability
  • Filtering
  • Hidden Markov models
  • Unique ergodicity

Fingerprint

Dive into the research topics of 'A complete solution to Blackwell's unique ergodicity problem for hidden Markov chains'. Together they form a unique fingerprint.

Cite this