A framework for optimal posterior e-values with non-convex composite hypotheses, demonstrated via statistical tests for multiple voting systems including the first treatment of Schulze.
arXiv preprint arXiv:2404.19465 , year=
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Bentkus-type asymptotic e-values eliminate the missing factor and deliver sharper inference than prior asymptotic e-values in post-hoc and multiple testing settings.
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Optimal Posterior E-values with Non-Convex Parameter Sets with Applications to Voting Systems
A framework for optimal posterior e-values with non-convex composite hypotheses, demonstrated via statistical tests for multiple voting systems including the first treatment of Schulze.
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Bentkus-type asymptotic e-values
Bentkus-type asymptotic e-values eliminate the missing factor and deliver sharper inference than prior asymptotic e-values in post-hoc and multiple testing settings.