Enforcing tail calibration when training probabilistic forecast models

ArXi:2506.13687v2 Announce Type: replace-cross 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 over a set of