Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions-Reference-Cited by-同舟云学术

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Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions

Published:2022-08 Issue: Volume: Page:
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Taillardat Maxime^ORCID,Fougères Anne-Laure,Naveau Philippe,de Fondeville Raphaël^ORCID

Publisher

Elsevier BV

Subject

Business and International Management

Reference54 articles.

1. Sequentially valid tests for forecast calibration;Arnold,2021

2. Statistics of extremes: theory and applications;Beirlant,2004

3. Forecast score distributions with imperfect observations;Bessac;Advances in Statistical Climatology, Meteorology and Oceanography,2021

4. Why scoring functions cannot assess tail properties;Brehmer;Electronic Journal of Statistics,2019

5. Evaluating raw ensembles with the continuous ranked probability score;Bröcker;Quarterly Journal of the Royal Meteorological Society,2012

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1. Locally tail-scale invariant scoring rules for evaluation of extreme value forecasts;International Journal of Forecasting;2024-10

2. Near-Term Lake Water Temperature Forecasts Can Be Used to Anticipate the Ecological Dynamics of Freshwater Species;2024

3. Editorial: EVA 2021 data challenge on spatiotemporal prediction of wildfire extremes in the USA;Extremes;2023-03-27

4. Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk;International Journal of Forecasting;2022-12

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