@inproceedings{f171230de8ad4d97abc7d49b8a8cdcb0,
title = "On R{\'e}nyi measures and hypothesis testing",
abstract = "We provide a variational characterization for the various R{\'e}nyi information measures via their Shannon counterparts, and demonstrate how properties of the former can be recovered from first principle via the associated properties of the latter. Motivated by this characterization, we give a new operational interpretation for the R{\'e}nyi divergence in a two-sensor composite hypothesis testing framework.",
author = "Ofer Shayevitz",
year = "2011",
doi = "https://doi.org/10.1109/ISIT.2011.6034266",
language = "الإنجليزيّة",
isbn = "9781457705953",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "894--898",
booktitle = "2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011",
note = "2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011 ; Conference date: 31-07-2011 Through 05-08-2011",
}