2 citations · 2 across the 3 of their papers we have counts for
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stat.ME2024
Shift-Dispersion Decompositions of Wasserstein and Cramér Distances
Johannes Resin, Daniel Wolffram, Johannes Bracher +1
Divergence functions are measures of distance or dissimilarity between probability distributions that serve various purposes in statistics and applications. We propose decompositio…
stat.ME2023★ 2 cited
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions
Johannes Resin
In the face of uncertainty, the need for probabilistic assessments has long been recognized in the literature on forecasting. In classification, however, comparative evaluation of…
stat.ME2021
Regression Diagnostics meets Forecast Evaluation: Conditional Calibration, Reliability Diagrams, and Coefficient of Determination
Tilmann Gneiting, Johannes Resin
Model diagnostics and forecast evaluation are two sides of the same coin. A common principle is that fitted or predicted distributions ought to be calibrated or reliable, ideally i…