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When is calibration enough?

Andrew Gelman · published 14 August 2024

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https://www.let-all.com/blog/2024/03/13/calibration-for-decision-making-a-principled-approach-to-trustworthy-ml/

let-all.com

https://proceedings.neurips.cc/paper/2021/file/bbc92a647199b832ec90d7cf57074e9e-Paper.pdf

proceedings.neurips.cc

https://arxiv.org/abs/2307.00168

arxiv.org

https://www.jstor.org/stable/2337364

jstor.org

https://projecteuclid.org/journals/annals-of-mathematical-statistics/volume-18/issue-4/An-Essentially-Complete-Class-of-Admissible-Decision-Functions/10.1214/aoms/1177730345.full

projecteuclid.org

https://fitelson.org/seminar/dawid.pdf

fitelson.org

Yes, checking calibration of probability forecasts is part of Bayesian statistics Read at the source ↗

statmodeling.stat.columbia.edu

https://www.med.mcgill.ca/epidemiology/hanley/bios601/GaussianModel/JaynesProbabilityTheory.pdf

med.mcgill.ca