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Honest calibration assessment for binary outcome predictions
v1v2 (latest)

Honest calibration assessment for binary outcome predictions

Biometrika (Biometrika), 2022
8 March 2022
Timo Dimitriadis
L. Duembgen
A. Henzi
Marius Puke
J. Ziegel
ArXiv (abs)PDFHTML

Papers citing "Honest calibration assessment for binary outcome predictions"

5 / 5 papers shown
BKP: An R Package for Beta Kernel Process Modeling
BKP: An R Package for Beta Kernel Process Modeling
Jiangyan Zhao
Kunhai Qing
Jin Xu
160
0
0
14 Aug 2025
Auto-Calibration Tests for Discrete Finite Regression Functions
Auto-Calibration Tests for Discrete Finite Regression FunctionsEuropean Actuarial Journal (EAJ), 2024
Mario V. Wüthrich
159
4
0
12 Aug 2024
Evaluating Probabilistic Classifiers: The Triptych
Evaluating Probabilistic Classifiers: The TriptychInternational Journal of Forecasting (IJF), 2023
Timo Dimitriadis
T. Gneiting
Alexander I. Jordan
Peter Vogel
UQCV
284
16
0
25 Jan 2023
Isotonic Recalibration under a Low Signal-to-Noise Ratio
Isotonic Recalibration under a Low Signal-to-Noise RatioScandinavian Actuarial Journal (Scand. Actuar. J.), 2023
M. Wüthrich
Johanna Fasciati-Ziegel
224
23
0
06 Jan 2023
Evaluating probabilistic classifiers: Reliability diagrams and score
  decompositions revisited
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisitedProceedings of the National Academy of Sciences of the United States of America (PNAS), 2020
Timo Dimitriadis
T. Gneiting
Alexander I. Jordan
319
86
0
07 Aug 2020
1
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