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stat.ME2026
Improved E-Value Thresholds with Applications to Multiple and Sequential Testing
Jiayi Shen, Houzhen Liu, Qirun Zeng +4
E-values provide a flexible framework for statistical inference, but the universal threshold can be conservative when the null distribution has additional structure. We study…
stat.ME2026
Testing Conditional Stochastic Dominance via Copula Derivatives
Weiqi Yang, Weiwei Zhuang, Xiaojun Song
Comparing two populations at the same physical covariate value requires more than conditional means or isolated target-point decisions: researchers may need evidence about an entir…
stat.ME2025
Multidimensional Stochastic Dominance Test Based on Center-outward Quantiles
Yiming Ma, Hang Liu, Weiwei Zhuang
Stochastic dominance (SD) provides a quantile-based partial ordering of random variables and has broad applications. Its extension to multivariate settings, however, is challenging…