Sampling Uncertainty and Confidence Intervals for the Brier Score and Brier Skill Score
By A. Allen Bradley, S. Schwartz, T. Hashino. 2008
99 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/7f767b898417ee8261fe7716a23a542d7ea6e6d8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Giuseppe Jurman
- Davide Chicco
- Matthijs J. Warrens
- D. Wilks
- Tilmann Gneiting
- Achim Zeileis
- Jakob W. Messner
- Georg J. Mayr
In Global and Planetary Change
- Giuseppe Jurman
- Davide Chicco
- Matthijs J. Warrens
- D. Wilks
- Tilmann Gneiting
- Achim Zeileis
- Jakob W. Messner
- Georg J. Mayr
Citations in the corpus
- Sampling distributions of the Brier score and Brier skill score under serial dependence (2010, methodology): “As was also done by Bradley et al. (2008), unconditional unbiasedness is enforced by requiring equality of the mean forecast and the climatological event frequency, μy = α/(α + β) = μx. Larger values of α and β will result in probability being concentrated near the mean, producing forecasts with poo”
- The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment (2021, background): “Bradley and colleagues [84] explored the sampling uncertainties of the Brier score and its variant Brier skill score [85].”