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Analyticity of entropy rates of continuous-state hidden Markov models

Abstract:
The analyticity of the entropy and relative entropy rates of continuous-state hidden Markov models is studied here. Using the analytic continuation principle and the stability properties of the optimal filter, the analyticity of these rates is established for analytically parameterized models. The obtained results hold under relatively mild conditions and cover several useful classes of hidden Markov models. These results are relevant for several theoretically and practically important problems arising in statistical inference, system identification and information theory.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TIT.2019.2935777

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Hertford College
Role:
Author
ORCID:
0000-0002-7662-419X


Publisher:
IEEE
Journal:
IEEE Transactions on Information Theory More from this journal
Volume:
65
Issue:
12
Pages:
7950-7975
Publication date:
2019-08-16
Acceptance date:
2019-07-29
DOI:
ISSN:
0018-9448


Language:
English
Keywords:
Pubs id:
pubs:1036567
UUID:
uuid:2b599b45-7ced-4927-ac5f-d52aa871023a
Local pid:
pubs:1036567
Source identifiers:
1036567
Deposit date:
2019-07-31
ARK identifier:

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