Calibration
Outline
Topics
- Notion of calibration.
- Nominal versus actual coverage.
Rationale
Returning a credible region is helpful as it conveys how much certain or uncertain we are about our answer.
However, these estimates of uncertainty can be misleading if they are too confident or too hesitant. The notion of calibration formalizes this intuition.
Example
- Familiar in Vancouver: “Tomorrow: 90% chance of rain,”
- here, “90%” is an example of nominal coverage.
- Of those days where the forecast says “Tomorrow: 90% chance of rain”…
- what fraction of those days did it actually rain?
- That fraction is an example of actual coverage.
Definition: a measure of uncertainty is calibrated if its nominal coverage matches its actual coverage.
Question: which weather source(s), if any, provide reasonably calibrated rain uncertainty estimates?