Manuscript En10-B@1 · En10-B.tex · section · a1105bad

The calibrated estimation theorem

Calibration and complete-record finite-shot inference › The calibrated estimation theorem · lines 844–856

Let

f = \frac{1}{n} i = 1 \sum^{n} f (r_{i}), θ_{0} = Π_{[0, 1]} (\frac{f - a _{0}}{b _{0}}), Π_{[0, 1]} (x) = max {0, min {1, x}} .

This is a separate classical post-processing of the record list. It does not prepare a returned quantum source.

Displayed formulas in this passage

unlabeled · line 847
$f = \frac{1}{n} i = 1 \sum^{n} f (r_{i}), θ_{0} = Π_{[0, 1]} (\frac{f - a _{0}}{b _{0}}), Π_{[0, 1]} (x) = max {0, min {1, x}} .$