Equitability Revisited: Why the ''Equitable Threat Score'' Is Not Equitable
By Robin J. Hogan, C. Ferro, Ian T. Jolliffe, David B. Stephenson. 2010
142 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/571d9b7a182752a6d5f5f5663c6b420c1b113da2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- C. Ferro
- David B. Stephenson
- R. Wunderlich
- Joy R. Petway
- Yu-Pin Lin
- Johnathen Anthony
- Dit-Yan Yeung
- Xingjian Shi
In Statistics and Probability
- David B. Stephenson
- C. Ferro
- Wai-Kin Wong
- R. Wunderlich
- Dit-Yan Yeung
- Joy R. Petway
- Wang-chun Woo
- Yu-Pin Lin
Citations in the corpus
- Extremal Dependence Indices: Improved Verification Measures for Deterministic Forecasts of Rare Binary Events (2011, methodology): “5 of Stephenson et al. (2008) because a different range of base rates is considered here, and because Stephenson et al. (2008) added some random noise to the forecasts and observations to mitigate the effects of the discretization of the precipitation totals.”
- Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models (2019, background): “the ability to distinguish random and skilled predictions at smaller than infinite sample sizes (Hogan et al. 2010).”
- Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model (2017, methodology): “As shown in Table 5, B-MSE and B-MAE have stronger correlation with the CSI and HSS in most cases.”