29 citations · 51 across the 11 of their papers we have counts for
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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★ 1 cited
The zero degree of freedom non-central chi squared distribution for ensemble postprocessing
Jürgen Groß, Annette Möller
In this note the use of the zero degree non-central chi squared distribution as predictive distribution for ensemble postprocessing is investigated. It has a point mass at zero by…
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…