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Hou-Zhen Liu

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Preprint Oct 2026

Improved E-Value Thresholds with Applications to Multiple and Sequential Testing

E-values provide a flexible framework for statistical inference, but the universal threshold $1/\alpha$ can be conservative when the null distribution has additional structure. We study how structural restrictions limit the worst-case concentration underlying Markov's inequality, using a nondecreasing density model to...

Jia-Yi Shen, Hou-Zhen Liu, Qi-Run Zeng et al. · 0 citations

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