Bibliography

2026

@article{Jobst2026,
  author       = {Ferdinand Buchner and David Jobst and Annette M{\"o}ller and Claudia Czado},
  journal      = {Quarterly Journal of the Royal Meteorological Society},
  title        = {Bivariate postprocessing of wind vectors},
  year         = {2026},
  number       = {n/a},
  pages        = {e70188},
  volume       = {n/a},
  publisher    = {Wiley},
}

2025

@article{Jobst2025,
  author       = {David Jobst and Annette M{\"o}ller and J{\"u}rgen Gro{\ss}},
  journal      = {Journal of the Royal Statistical Society Series C: Applied Statistics},
  title        = {D-vine {G}eneralized {A}dditive {M}odel copula-based quantile regression with application to ensemble postprocessing},
  year         = {2025},
  number       = {4},
  pages        = {994--1020},
  volume       = {74},
  publisher    = {Oxford University Press (OUP)},
}

@InProceedings{Moeller2025,
  author    = {Annette M{\"o}ller and David Jobst and J{\"u}rgen Gro{\ss}},
  booktitle = {Proceedings of the 39th International Workshop on Statistical Modelling},
  title     = {Time Series Model based Probabilistic Temperature Forecasting},
  year      = {2025},
  editor    = {David O'Sullivan and James Sweeney and Shirin Moghaddam and Kevin Burke},
  location  = {Limerick, Ireland},
  pages     = {289 -- 294},
}

2024

@article{Jobst2024c,
  author    = {David Jobst},
  journal   = {arXiv},
  title     = {Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts},
  year      = {2024},
  publisher = {arXiv},
}

@article{Jobst2024b,
  author       = {David Jobst and Annette M{\"o}ller and J{\"u}rgen Gro{\ss}},
  journal      = {Environmetrics},
  title        = {Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas},
  year         = {2024},
  number       = {8},
  pages        = {e2887},
  volume       = {35},
  publisher    = {Wiley},
}

@article{Jobst2024a,
  author       = {David Jobst and Annette M{\"o}ller and J{\"u}rgen Gro{\ss}},
  journal      = {Quarterly Journal of the Royal Meteorological Society},
  title        = {Time-series-based ensemble model output statistics for temperature forecasts postprocessing},
  year         = {2024},
  number       = {765},
  pages        = {4838--4855},
  volume       = {150},
  publisher    = {Wiley},
}

2023

@article{Jobst2023,
  author    = {David Jobst and Annette M{\"o}ller and J{\"u}rgen Gro{\ss}},
  journal   = {Quarterly Journal of the Royal Meteorological Society},
  title     = {D-vine-copula-based postprocessing of wind speed ensemble forecasts},
  year      = {2023},
  number    = {755},
  pages     = {2575--2597},
  volume    = {149},
  publisher = {Wiley},
}

@article{Demaeyer2023,
  author    = {Jonathan Demaeyer and Jonas Bhend and Sebastian Lerch and Cristina Primo and Bert Van Schaeybroeck and Aitor Atencia and Zied Ben Bouall{\`{e}}gue and Jieyu Chen and Markus Dabernig and Gavin Evans and Jana Faganeli Pucer and Ben Hooper and Nina Horat and David Jobst and Janko Mer{\v{s}}e and Peter Mlakar and Annette Möller and Olivier Mestre and Maxime Taillardat and St{\'{e}}phane Vannitsem},
  journal   = {Earth System Science Data},
  title     = {The {EUPPBench} postprocessing benchmark dataset v1.0},
  year      = {2023},
  number    = {6},
  pages     = {2635--2653},
  volume    = {15},
  publisher = {Copernicus {GmbH}},
}