Open Access
2022 Isotonic regression for elicitable functionals and their Bayes risk
Anja Mühlemann, Johanna Ziegel
Author Affiliations +
Electron. J. Statist. 16(2): 3836-3860 (2022). DOI: 10.1214/22-EJS2034

Abstract

We study the non-parametric isotonic regression problem for bivariate elicitable functionals that are given as an elicitable univariate functional and its Bayes risk. Prominent examples for functionals of this type are (mean, variance) and (Value-at-Risk, Expected Shortfall), where the latter pair consists of important risk measures in finance. We present our results for totally ordered covariates but extenstions to partial orders are given in the appendix.

Funding Statement

The authors gratefully acknowledge funding from the Swiss National Science Foundation.

Acknowledgments

The authors are grateful for constructive comments of two anonymous reviewers, which improved the paper.

Citation

Download Citation

Anja Mühlemann. Johanna Ziegel. "Isotonic regression for elicitable functionals and their Bayes risk." Electron. J. Statist. 16 (2) 3836 - 3860, 2022. https://doi.org/10.1214/22-EJS2034

Information

Received: 1 June 2021; Published: 2022
First available in Project Euclid: 13 July 2022

MathSciNet: MR4451379
zbMATH: 07567701
Digital Object Identifier: 10.1214/22-EJS2034

Vol.16 • No. 2 • 2022
Back to Top