Shift-Dispersion Decompositions of Wasserstein and Cramér Distances (2024), with Daniel Wolffram, Johannes Bracher, and Timo Dimitriadis. Preprint arXiv:2408.09770.
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions (2023). Journal of Machine Learning Research 24:1-21. Paper, Preprint.
Regression Diagnostics meets Forecast Evaluation: Conditional Calibration, Reliability Diagrams, and Coefficient of Determination (2023), with Tilmann Gneiting. Electronic Journal of Statistics 17:3226-3286. Paper, Preprint, Code.
Model Diagnostics and Forecast Evaluation for Quantiles (2023), with Tilmann Gneiting, Daniel Wolffram, Kristof Kraus, Johannes Bracher, Timo Dimitriadis, Veit Hagenmeyer, Alexander I. Jordan, Sebastian Lerch, Kaleb Phipps, and Melanie Schienle. Annual Review of Statistics and Its Application 10:597-621. Paper, Code.
A Simple Algorithm for Exact Multinomial Tests (2023). Journal of Computational and Graphical Statistics 32:539-550. Paper (Code available in supplemental material), Preprint, R package.
Model Diagnostics meets Forecast Evaluation: Goodness-of-Fit, Calibration, and Related Topics (2023). PhD thesis, Karlsruhe Institute of Technology.