Calibration “resolves” epistemic uncertainty by giving predictions that are indistinguishable from the true probabilities. Why is this still unsatisfying?

Statistical Modeling, Causal Inference, and Social Science 2024-12-31

Summary:

This is Jessica. The last day of the year is like a good time for finishing things up, so I figured it’s time for one last post wrapping up some thoughts on calibration.  As my previous posts got into, calibrated prediction uncertainty … Continue reading

Link:

https://statmodeling.stat.columbia.edu/2024/12/31/calibration-resolves-epistemic-uncertainty-by-giving-predictions-that-are-indistinguishable-from-the-true-probabilities-why-is-this-still-unsatisfying/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

analysis

Authors:

Jessica Hullman

Date tagged:

12/31/2024, 14:33

Date published:

12/31/2024, 12:27