@inproceedings{03e59e5a47ee4d4284178aee9d41eefe,
title = "Strong Converses using Change of Measure and Asymptotic Markov Chains",
abstract = "The main contribution of this paper is a strong converse result for K-hop distributed hypothesis testing against independence with multiple (intermediate) decision centers under a Markov condition. Our result shows that the set of type-II error exponents that can simultaneously be achieved at all the terminals does not depend on the maximum permissible type-I error probabilities. Our strong converse proof is based on a change of measure argument and on the asymptotic proof of specific Markov chains. This proof method seems to be useful also in other applications, and is appealing because it does not require resorting to variational characterizations or blowing-up methods as in previous related proofs.",
keywords = "K hops, Strong converse, change of measure, hypothesis testing",
author = "Mustapha Hamad and Michele Wigger and Mireille Sarkiss",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Information Theory Workshop, ITW 2022 ; Conference date: 01-11-2022 Through 09-11-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/ITW54588.2022.9965790",
language = "English",
series = "2022 IEEE Information Theory Workshop, ITW 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "535--540",
booktitle = "2022 IEEE Information Theory Workshop, ITW 2022",
}