Characterizes the optimal e-power for ε-DP e-value hypothesis testing between P^n and Q^n, supplies a matching algorithm, and gives matching bounds on stopping times for private e-processes.
E-detectors: A nonparametric framework for sequential change detection.The New England Journal of Statistics in Data Science, 2(2):229–260, 2024
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Optimal Rates for Differentially Private Hypothesis Testing with E-values
Characterizes the optimal e-power for ε-DP e-value hypothesis testing between P^n and Q^n, supplies a matching algorithm, and gives matching bounds on stopping times for private e-processes.