A quantitative Heppes Theorem and multivariate Bernoulli distributions
Probability
2023-03-10 v3 Statistics Theory
Statistics Theory
Abstract
Using some extensions of a theorem of Heppes on finitely supported discrete probability measures, we address the problems of classification and testing based on projections. In particular, when the support of the distributions is known in advance (as for instance for multivariate Bernoulli distributions), a single suitably chosen projection determines the distribution. Several applications of these results are considered.
Cite
@article{arxiv.2201.07628,
title = {A quantitative Heppes Theorem and multivariate Bernoulli distributions},
author = {Ricardo Fraiman and Leonardo Moreno and Thomas Ransford},
journal= {arXiv preprint arXiv:2201.07628},
year = {2023}
}
Comments
29 pages, 10 figures, 3 tables