Post-ADC inference supplies valid p-values and confidence intervals for data-dependent targets after active data collection by extending selective inference to correct for both adaptive sampling bias and post-hoc target selection, relying only on noise assumptions.
Unifying approach to selective inference with applications to cross-validation
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Post-ADC Inference: Valid Inference After Active Data Collection
Post-ADC inference supplies valid p-values and confidence intervals for data-dependent targets after active data collection by extending selective inference to correct for both adaptive sampling bias and post-hoc target selection, relying only on noise assumptions.