Bibliography
2026
@article{Jobst2026,
author = {Jobst, David},
title = {Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts},
year = {2026},
doi = {10.1002/env.70145},
number = {6},
pages = {e70145},
volume = {37},
journal = {Environmetrics},
}@inbook{Moeller2026b,
author = {Annette M{\"o}ller and David Jobst and Ferdinand Buchner},
bookTitle = {Statistical Dependence Modeling: Festschrift in Honor of Claudia Czado},
title = {Vine Copula-Based Probabilistic Weather Forecasting: Review, Challenges, and Future Work},
year = {2026},
editor = {Nagler, Thomas and Kurowicka, Dorota and Cooke, Roger and Joe, Harry},
publisher = {Springer Nature Switzerland},
pages = {283--315},
doi = {10.1007/978-3-032-14252-8_12},
}@inproceedings{Moeller2026a,
author = {Annette M{\"o}ller and David Jobst and J{\"u}rgen Gro{\ss}},
booktitle = {Proceedings of the 40th International Workshop on Statistical Modelling},
title = {The zero-degree of freedom chi-squared distribution in a gradient-boosting framework for probabilistic precipitation forecasting},
year = {2026},
editor = {Riccardo De Bin and Clara Bertinelli Salucci and Aliaksandr Hubin},
location = {Oslo, Norway},
publisher = {Statistical Modelling Society},
pages = {361--364},
url = {https://www.mn.uio.no/math/english/research/groups/statistics-data-science/events/conferences/iwsm2026/proceedings/proceedings_iwsm2026_proofonline.pdf},
}@article{Buchner2026,
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 = {778},
pages = {e70188},
volume = {152},
publisher = {Wiley},
doi = {10.1002/qj.70188},
}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)},
doi = {10.1093/jrsssc/qlaf011},
}@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},
publisher = {Statistical Modelling Society},
pages = {289 -- 294},
url = {https://iwsm2025.ie/wp-content/uploads/2025/07/IWSM2025_Limerick_Proceedings.pdf},
}2024
@article{Jobst2024c,
author = {David Jobst},
journal = {arXiv},
title = {Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts},
year = {2024},
publisher = {arXiv},
doi = {10.48550/ARXIV.2412.09583},
}@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},
doi = {10.1002/env.2887},
}@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},
doi = {10.1002/qj.4844},
}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},
doi = {10.1002/qj.4521},
}@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}},
doi = {10.5194/essd-15-2635-2023},
}