Hunt-and-Test Procedures: Design and Derandomization
Description preview
This project addresses a fundamental challenge in testing statistical hypotheses: reliably detecting signals from complex data while avoiding false discoveries due to "double dipping", a practice of unintentionally using the same data to both identify and test hypotheses. Double dipping inflates the rate of false findings, thereby undermining the…
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