English

Ziv-Merhav estimation for hidden-Markov processes

Information Theory 2024-10-23 v1 math.IT Probability

Abstract

We present a proof of strong consistency of a Ziv-Merhav-type estimator of the cross entropy rate for pairs of hidden-Markov processes. Our proof strategy has two novel aspects: the focus on decoupling properties of the laws and the use of tools from the thermodynamic formalism.

Cite

@article{arxiv.2408.08809,
  title  = {Ziv-Merhav estimation for hidden-Markov processes},
  author = {Nicholas Barnfield and Raphaël Grondin and Gaia Pozzoli and Renaud Raquépas},
  journal= {arXiv preprint arXiv:2408.08809},
  year   = {2024}
}

Comments

Short note prepared for the IEEE International Symposium on Information Theory 2024 on a special case of arXiv:2312.02098

R2 v1 2026-06-28T18:14:50.767Z