@inproceedings{323d53c273f74e69b0a93664ca40eed6,
title = "Further Investigations of the Maximum Entropy of the Sum of Two Dependent Random Variables",
abstract = "Cover and Zhang proved a certain reversal of the Entropy Power Inequality for the sum of (possibly dependent) random variables possessing the same log-concave density, and what is more that log-concave densities were the only densities that satisfied such an inequality. In this work the authors consider the analogous reversal of recent Renyi Entropy Power Inequalities for random vectors and again show that not only do they hold for s-concave densities, but that s-concave densities are characterized by satisfying said inequalities.",
keywords = "Convex measures, Renyi entropy, Reverse entropy power inequality",
author = "Jiange Li and James Melbourne",
year = "2018",
month = aug,
day = "15",
doi = "10.1109/ISIT.2018.8437870",
language = "English (US)",
isbn = "9781538647806",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1969--1972",
booktitle = "2018 IEEE International Symposium on Information Theory, ISIT 2018",
note = "2018 IEEE International Symposium on Information Theory, ISIT 2018 ; Conference date: 17-06-2018 Through 22-06-2018",
}