Convolution — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
The overlap at the critical value
Two searches over independent noise columns are additive on average: the joint search finds what the two find separately, to within a fortieth of the smaller. At the point a test actually uses — the joint statistic's 95% quantile — the same pair overlaps by 0.320, and a rule that adds the two searches' own critical values rejects 1.4% of true nulls instead of 5%. Nothing about the searches causes it. Quantiles of a sum do not add, and on every pair in the field the overlap at the critical value is larger than the overlap the field measured.
The split at the critical value
Split the over-charge of two searches at the joint statistic's 95% point rather than at its mean, and the two components behave differently. The interaction — what only the joint search can reach — stays within two units of its average at every level up to the 95% point. The overlap climbs from nothing to most of the over-charge, on two searches over independent columns as much as on searches that share ground. At the critical value the split's overlap has stopped meaning shared ground: it is mostly the arithmetic of adding tails, and the identity that defines it hides that.
Named alongside it
The objects these essays reach for when they reach for this one.
Change pointCombinatorial searchCritical valueData snoopingLikelihood ratioMonte CarloQuantileCalibrationModel selectionSize of a testSpecification searchSupremum statistic