Optimal Rate-Exponent Region for a Class of Hypothesis Testing Against Conditional Independence Problems
Information Theory
2019-04-08 v1 math.IT
Statistics Theory
Statistics Theory
Abstract
We study a class of distributed hypothesis testing against conditional independence problems. Under the criterion that stipulates minimization of the Type II error rate subject to a (constant) upper bound on the Type I error rate, we characterize the set of encoding rates and exponent for both discrete memoryless and memoryless vector Gaussian settings.
Keywords
Cite
@article{arxiv.1904.03028,
title = {Optimal Rate-Exponent Region for a Class of Hypothesis Testing Against Conditional Independence Problems},
author = {Abdellatif Zaidi and Inaki Estella Aguerri},
journal= {arXiv preprint arXiv:1904.03028},
year = {2019}
}
Comments
Submitted for publication to the IEEE Information Theory Workshop, ITW 2019. arXiv admin note: substantial text overlap with arXiv:1811.03933