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T‐calibration in semi‐parametric models

Anja Mühlemann & Johanna F. Ziegel

Canadian Journal of Statistics2026https://doi.org/10.1002/cjs.70035article
ABDC A
Weight
0.37

Abstract

This article relates the calibration of models to the consistent loss functions for the target functional of the model. Correctly specified models are calibrated. Conversely, we demonstrate that if there is a parameter value that is optimal under all consistent loss functions, then a model is calibrated.

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https://doi.org/https://doi.org/10.1002/cjs.70035

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@article{anja2026,
  title        = {{T‐calibration in semi‐parametric models}},
  author       = {Anja Mühlemann & Johanna F. Ziegel},
  journal      = {Canadian Journal of Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/cjs.70035},
}

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T‐calibration in semi‐parametric models

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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