Heteroscedastic Extended Logistic Regression for Postprocessing of Ensemble Guidance
By Jakob W. Messner, Georg J. Mayr, Achim Zeileis, D. Wilks. 2014
71 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/529e90709a217dad7f0ba7b93a358d9bc511b7eb
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
- Achim Zeileis
- Jakob W. Messner
- Georg J. Mayr
- D. Wilks
- Tilmann Gneiting
- Thordis Linda Thorarinsdottir
- Michael Scheuerer
- Kees Kok
In Environmental Engineering
In Global and Planetary Change
- Achim Zeileis
- Jakob W. Messner
- Georg J. Mayr
- D. Wilks
- Tilmann Gneiting
- Thordis Linda Thorarinsdottir
- Khaled H. Hamed
- Michael Scheuerer
Citations in the corpus
- Statistical Postprocessing of Ensemble Precipitation Forecasts by Fitting Censored, Shifted Gamma Distributions* (2015, unknown): “…approaches that have been developed for quantitative precipitation forecasts include Bayesian model averaging (BMA; Sloughter et al. 2007), extended logistic regression (ExLR; Wilks 2009; Ben Bouallègue 2013; Messner and Mayr 2014), and ensemble model output statistics (EMOS; Scheuerer 2014).”
- Extending Extended Logistic Regression: Extended versus Separate versus Ordered versus Censored (2014, methodology): “The exponential function is used as a simple method to ensure positive values (Messner et al. 2014).”