Introduces a set-preserving P2E calibrator for conformal prediction that improves efficiency and supports exact 1-alpha coverage in cross-conformal prediction and conformal aggregation.
Hypothesis testing with e-values.Foundations and Trends® in Statistics2025;1(1-2):1–390
7 Pith papers cite this work. Polarity classification is still indexing.
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2026 7verdicts
UNVERDICTED 7representative citing papers
Characterizes the optimal e-power for ε-DP e-value hypothesis testing between P^n and Q^n, supplies a matching algorithm, and gives matching bounds on stopping times for private e-processes.
Finite-horizon optimal e-value designs for adaptive single-arm binary trials are constructed via dynamic programming and shown to have competitive operating characteristics with automatic futility indication.
Introduces anytime-valid e-processes for first- and higher-order stochastic dominance that achieve power one and remain valid under continuous monitoring.
The authors create e-processes for monotonicity and unimodality testing that achieve power one and consistent mode estimation under i.i.d. sampling.
PFWCP achieves personalized asymptotic marginal and calibration-conditional coverage in federated conformal prediction via density ratio weighting and quantile aggregation under one-shot communication.
The paper argues that statistical inference requires nuanced scientific context and that universal significance thresholds should be abandoned.
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Adaptive clinical trials based on design-optimal e-values with automatic curtailment: An application to single-arm trials with binary data
Finite-horizon optimal e-value designs for adaptive single-arm binary trials are constructed via dynamic programming and shown to have competitive operating characteristics with automatic futility indication.
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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.