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Type-II Error Bounds for Test Supermartingales from Lower-Tail Hypotheses
In safe hypothesis testing with test supermartingals, Ville's inequality provides anytime-valid type-I error guarantees for every significance level $α\in(0,1]$, if one rejects the null hypothesis whenever the wealth process first exceeds $\frac{1}α$. Due to an inherent asymmetry, the type-II error
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