David Jobst
  • Home
  • Publications
  • Talks
  • Software
  • Teaching

David Jobst

About Myself

Since August 2020, I am research assistant in the Statistics Working Group which is part of the Institute of Mathematics - IMMI at the University of Hildesheim.

My research falls into the field of computational statistics. In particular, I am interested in the development of flexible univariate as well as multivariate distributional regression models embedded into statistical learning frameworks for probabilistic weather forecasting. During my PhD, I have mainly worked on distributional regression models as well as dependence models for the statistical postprocessing of numerical weather prediction forecasts.

Research Interests

  • Distributional Regression Models
  • Dependence Models
  • Statistical Learning
  • Probabilistic Weather Forecasting

News

New publication “Gradient-Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts” in Environmetrics!

Sep 6, 2026
David Jobst
2 min

“The zero-degree of freedom chi-squared distribution in a gradient-boosting framework for probabilistic precipitation forecasting” in Proceedings of the 40th International Workshop on Statistical Modelling!

Jul 3, 2026
David Jobst
2 min

Funded Research Visit at the German Meteorological Service (DWD)!

Apr 17, 2026
David Jobst
1 min

New publication “Bivariate postprocessing of wind vectors” in the Quaterly Journal of Royal Meteorological Society!

Apr 9, 2026
David Jobst
2 min

I have defended my PhD thesis titled “Distributional Regression Models with Application to Numerical Weather Prediction Forecasts” at the University of Hildesheim!

Mar 31, 2026
David Jobst
1 min

Short-Term Scientific Mission at GeoSphere Austria funded by EUMETNET!

Mar 20, 2026
David Jobst
1 min
No matching items
 

© David Jobst. 2026.