Bi-$s^*$-Concave Distributions
Abstract
We introduce new shape-constrained classes of distribution functions on R, the bi--concave classes. In parallel to results of D\"umbgen, Kolesnyk, and Wilke (2017) for what they called the class of bi-log-concave distribution functions, we show that every -concave density has a bi--concave distribution function for . Confidence bands building on existing nonparametric bands, but accounting for the shape constraint of bi--concavity, are also considered. The new bands extend those developed by D\"umbgen et al. (2017) for the constraint of bi-log-concavity. We also make connections between bi--concavity and finiteness of the Cs\"org\H{o} - R\'ev\'esz constant of which plays an important role in the theory of quantile processes.
Keywords
Cite
@article{arxiv.2006.03989,
title = {Bi-$s^*$-Concave Distributions},
author = {Nilanjana Laha and Zhen Miao and Jon A. Wellner},
journal= {arXiv preprint arXiv:2006.03989},
year = {2020}
}
Comments
68 pages, 24 figures; replaces and extends arXiv:2006.03989 by Laha, Miao, and Wellner