Nonparametric estimation of extreme conditional quantiles

Author:

Beirlant Jan1,Wet Tertius De2,Goegebeur Yuri3

Affiliation:

1. a Department of Mathematics , K.U. Leuven , Celestijnenlaan 200B, 3001 Heverlee, Belgium

2. b Department of Statistics and Actuarial Science , University of Stellenbosch , Private Bag X1, Matieland 7602, South Africa

3. c Department of Applied Economics , K.U. Leuven, Naamsestraat 69, 3000 Leuven and University Centre for Statistics , K.U. Leuven, de Croylaan 54, 3001 Heverlee, Belgium

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

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1. Extremal Random Forests;Journal of the American Statistical Association;2024-02-14

2. Robust estimation and regression with parametric quantile functions;Computational Statistics & Data Analysis;2022-07

3. Prediction of Extreme Conditional Quantiles of Electricity Demand: An Application Using South African Data;Energies;2021-10-15

4. Parametric estimation of non-crossing quantile functions;Statistical Modelling;2021-09-01

5. Extreme quantile regression for tail single-index varying-coefficient models;Communications in Statistics - Theory and Methods;2021-08-06

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