A hybrid method models squared losses from Bayesian CNV posteriors with a Gamma distribution on validation samples to produce tolerance intervals with valid frequentist coverage, achieving single-digit mean absolute coverage error on targeted amplicon panels.
Because (1 +λ j)2 −(1 + 2λ j) =λ 2 j ≥0, it follows thata j ≥ 1 2, with equality if and only ifλ j = 0 (no process-mismatch bias)
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Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
A hybrid method models squared losses from Bayesian CNV posteriors with a Gamma distribution on validation samples to produce tolerance intervals with valid frequentist coverage, achieving single-digit mean absolute coverage error on targeted amplicon panels.