Integrated quantile functions: properties and applications
Abstract
In this paper we provide a systematic exposition of basic properties of integrated distribution and quantile functions. We define these transforms in such a way that they characterize any probability distribution on the real line and are Fenchel conjugates of each other. We show that uniform integrability, weak convergence and tightness admit a convenient characterization in terms of integrated quantile functions. As an application we demonstrate how some basic results of the theory of comparison of binary statistical experiments can be deduced using integrated quantile functions. Finally, we extend the area of application of the Chacon--Walsh construction in the Skorokhod embedding problem.
Cite
@article{arxiv.1801.00977,
title = {Integrated quantile functions: properties and applications},
author = {Alexander A. Gushchin and Dmitriy A. Borzykh},
journal= {arXiv preprint arXiv:1801.00977},
year = {2018}
}
Comments
Published at https://doi.org/10.15559/17-VMSTA88 in the Modern Stochastics: Theory and Applications (https://www.i-journals.org/vtxpp/VMSTA) by VTeX (http://www.vtex.lt/)