Scoring predictions at extreme quantiles
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Publication:2106823
DOI10.1007/s10182-021-00421-9OpenAlexW4213002345MaRDI QIDQ2106823
Axel Gandy, Kaushik Jana, Almut E. D. Veraart
Publication date: 19 December 2022
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.04763
Uses Software
Cites Work
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- Making and Evaluating Point Forecasts
- Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with adjustment for false discovery rate
- A note on L-estimates for linear models
- Probabilistic wind speed forecasting on a grid based on ensemble model output statistics
- Composite quantile regression and the oracle model selection theory
- Statistical inference using extreme order statistics
- Forecaster's dilemma: extreme events and forecast evaluation
- How to make a Hill plot.
- Quantile regression for longitudinal data
- Improving precipitation forecasts using extreme quantile regression
- Why scoring functions cannot assess tail properties
- On optimising the estimation of high quantiles of a probability distribution
- Estimation of High Conditional Quantiles for Heavy-Tailed Distributions
- Strictly Proper Scoring Rules, Prediction, and Estimation
- An introduction to statistical modeling of extreme values
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