Article

Calibrating machine learning approaches for probability estimation without calibration data

2026-07-13

Abstract excerpt

Statistical prediction models for binary outcomes are becoming increasingly popular. One significant challenge is calibrating these models to suit the characteristics of a target population that is structurally different from the original population. Calibration is especially challenging when there is no training data available from the target population. To address this problem, we propose a novel calibration met...

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Literature Corpus work: 285f2c17-770f-572b-a45c-b66484d66698
DOI: 10.64898/2026.07.10.26357723

Open publication

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