Reducing reliability bias in assessments of extreme weather risk using calibrating priors
<p>A number of recent climate studies have used univariate parametric statistical models to estimate return periods of extreme weather events based on the method of maximum likelihood. Using simulations over multiple training datasets, we find that using maximum likelihood gives predictions of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-02-01
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| Series: | Advances in Statistical Climatology, Meteorology and Oceanography |
| Online Access: | https://ascmo.copernicus.org/articles/11/1/2025/ascmo-11-1-2025.pdf |
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