Hypothesis testing with active information
Statistics Theory
2021-11-16 v3 Information Theory
math.IT
Statistics Theory
Abstract
We develop hypothesis testing for active information -the averaged quantity in the Kullback-Liebler divergence. To our knowledge, this is the first paper to derive exact probabilities of type-I errors for hypothesis testing in the area.
Cite
@article{arxiv.2011.04834,
title = {Hypothesis testing with active information},
author = {Daniel Andrés Díaz-Pachón and Juan Pablo Sáenz and J. Sunil Rao},
journal= {arXiv preprint arXiv:2011.04834},
year = {2021}
}
Comments
Typo changed in one of the names in the Metadata, and a reference to an equation from the paper in the Supplement