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stat.AP2024
Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts
David Jobst
Nowadays, weather forecasts are commonly generated by ensemble forecasts based on multiple runs of numerical weather prediction models. However, such forecasts are usually miscalib…
stat.ME2024
Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
David Jobst, Annette Möller, Jürgen Groß
Vine copulas are flexible dependence models using bivariate copulas as building blocks. If the parameters of the bivariate copulas in the vine copula depend on covariates, one obta…
stat.AP2024
Time Series based Ensemble Model Output Statistics for Temperature Forecasts Postprocessing
David Jobst, Annette Möller, Jürgen Groß
Nowadays, weather prediction is based on numerical weather prediction (NWP) models to produce an ensemble of forecasts. Despite of large improvements over the last few decades, the…