Introduces anytime-valid e-processes for first- and higher-order stochastic dominance that achieve power one and remain valid under continuous monitoring.
arXiv preprint arXiv:2504.02818 , year=
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A new e-statistic enables anytime-valid sequential testing by betting on predictions from unlabeled data, with non-trivial power for binary outcomes even under inaccurate predictions and label or concept shift.
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Betting on Bets: Anytime-Valid Tests for Stochastic Dominance
Introduces anytime-valid e-processes for first- and higher-order stochastic dominance that achieve power one and remain valid under continuous monitoring.
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Semi-Supervised Hypothesis Testing by Betting on Predictions
A new e-statistic enables anytime-valid sequential testing by betting on predictions from unlabeled data, with non-trivial power for binary outcomes even under inaccurate predictions and label or concept shift.