most citedImproving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules

4 citations · 4 across the 1 of their papers we have counts for

collaborators
Showing stat.APShow all

1 paper · 1 filter

stat.AP2025

Enforcing tail calibration when training probabilistic forecast models

Jakob Benjamin Wessel, Maybritt Schillinger, Frank Kwasniok +1

Probabilistic forecasts are typically obtained using state-of-the-art statistical and machine learning models, with model parameters estimated by optimizing a proper scoring rule o…