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Ziv-Merhav Estimation for Hidden-Markov Processes

Publication ,  Conference
Barnfield, N; Grondin, R; Pozzoli, G; Raquepas, R
Published in: IEEE International Symposium on Information Theory Proceedings
January 1, 2024

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.

Duke Scholars

Published In

IEEE International Symposium on Information Theory Proceedings

DOI

ISSN

2157-8095

Publication Date

January 1, 2024

Start / End Page

3606 / 3611
 

Citation

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Barnfield, N., Grondin, R., Pozzoli, G., & Raquepas, R. (2024). Ziv-Merhav Estimation for Hidden-Markov Processes. In IEEE International Symposium on Information Theory Proceedings (pp. 3606–3611). https://doi.org/10.1109/ISIT57864.2024.10619304
Barnfield, N., R. Grondin, G. Pozzoli, and R. Raquepas. “Ziv-Merhav Estimation for Hidden-Markov Processes.” In IEEE International Symposium on Information Theory Proceedings, 3606–11, 2024. https://doi.org/10.1109/ISIT57864.2024.10619304.
Barnfield N, Grondin R, Pozzoli G, Raquepas R. Ziv-Merhav Estimation for Hidden-Markov Processes. In: IEEE International Symposium on Information Theory Proceedings. 2024. p. 3606–11.
Barnfield, N., et al. “Ziv-Merhav Estimation for Hidden-Markov Processes.” IEEE International Symposium on Information Theory Proceedings, 2024, pp. 3606–11. Scopus, doi:10.1109/ISIT57864.2024.10619304.
Barnfield N, Grondin R, Pozzoli G, Raquepas R. Ziv-Merhav Estimation for Hidden-Markov Processes. IEEE International Symposium on Information Theory Proceedings. 2024. p. 3606–3611.

Published In

IEEE International Symposium on Information Theory Proceedings

DOI

ISSN

2157-8095

Publication Date

January 1, 2024

Start / End Page

3606 / 3611