activity
20102022
most citedOn kernel smoothing for extremal quantile regression

94 citations · 147 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2022

Extreme expectile estimation for short-tailed data, with an application to market risk assessment

Abdelaati Daouia, Simone A. Padoan, Gilles Stupfler

The use of expectiles in risk management has recently gathered remarkable momentum due to their excellent axiomatic and probabilistic properties. In particular, the class of elicit…

math.ST2021

Optimal pooling and distributed inference for the tail index and extreme quantiles

Abdelaati Daouia, Simone A. Padoan, Gilles Stupfler

This paper investigates pooling strategies for tail index and extreme quantile estimation from heavy-tailed data. To fully exploit the information contained in several samples, we…

math.ST2019★ 4 cited

From Halfspace M-depth to Multiple-output Expectile Regression

Abdelaati Daouia, Davy Paindaveine

Despite the renewed interest in the Newey and Powell (1987) concept of expectiles in fields such as econometrics, risk management, and extreme value theory, expectile regression---…

math.ST2013★ 94 cited

On kernel smoothing for extremal quantile regression

Abdelaati Daouia, Laurent Gardes, Stéphane Girard

Nonparametric regression quantiles obtained by inverting a kernel estimator of the conditional distribution of the response are long established in statistics. Attention has been,…

math.ST2010★ 49 cited

Frontier estimation and extreme value theory

Abdelaati Daouia, Jean-Pierre Florens, Léopold Simar

In this paper, we investigate the problem of nonparametric monotone frontier estimation from the perspective of extreme value theory. This enables us to revisit the asymptotic theo…