Atom-probability error in a randomized endpoint rule

ID: atom-probability-error-in-a-randomized-endpoint-rule

Atom-probability error in a randomized endpoint rule is the change in included duration-model probability caused by using an inaccurate zero-atom probability in the randomization. Let , and hold the positive upper endpoint fixed at an actual cumulative distribution function value . If the true zero probability is but the rule uses a positive , its independent endpoint-inclusion probability is . Conditional on that chosen value,
This is the atom term isolated in distribution sensitivity of randomized zero-endpoint probabilities, with upper-endpoint error deliberately removed. Underestimating reduces inclusion; overestimating it increases inclusion. The independent auxiliary draw can be generated from a uniform distribution.[ref]
If comes from an independent calibration, conditional probabilities must also be averaged over that calibration. For an original example, take , , and . Suppose the calibration returns or with equal probability. Its estimate is unbiased, yet the resulting included probabilities are and , averaging about rather than .
More generally, for an unbiased positive estimate in the valid rule range, Jensen's inequality gives
This reciprocal-estimation bias in randomized atom inclusion comes from a nonlinear plug-in rule, even with independent calibration. It does not identify the size of the error without a calibration model. Values below , including zero, require an explicitly defined clipped or guarded rule; the displayed inverse formula cannot simply be used there.
If a validated upper bound is available and , choosing instead guarantees under the fixed-upper-endpoint and independence assumptions. It may be conservative rather than exact. Uncertainty in remains a separate error term, and these are probabilities for a duration distribution, not a removal of the physical zero-duration atom.

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