E-measures generalize E-values to intersection-closed hypothesis classes, yielding uniform evidence bounds, automatic familywise evidence control without multiplicity correction, and a frequentist E-prior to E-posterior update.
Fuzzy prediction sets: Conformal prediction with e-values
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Post-hoc conformal selection creates a path of selection sets with estimated false discovery proportions, enabling data-driven adaptive FDR control with average reliability guarantees via e-variables and e-BH.
citing papers explorer
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The E-measure
E-measures generalize E-values to intersection-closed hypothesis classes, yielding uniform evidence bounds, automatic familywise evidence control without multiplicity correction, and a frequentist E-prior to E-posterior update.
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Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
Post-hoc conformal selection creates a path of selection sets with estimated false discovery proportions, enabling data-driven adaptive FDR control with average reliability guarantees via e-variables and e-BH.