For exchangeable hypotheses the optimal FWER-controlling multiple-testing procedure is computed via elementary symmetric polynomials on likelihood ratios plus a monotonicity theorem that enables an efficient bisection coordinate-descent algorithm.
Always Valid Inference: Continuous Monitoring of A/B Tests
2 Pith papers cite this work. Polarity classification is still indexing.
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Derives CLTs and asymptotic variances for IPW and AIPW estimators of ATE under a new design stability condition in adaptive randomization.
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Optimal multiple testing under family-wise error control: elementary symmetric polynomials and a scalable algorithm
For exchangeable hypotheses the optimal FWER-controlling multiple-testing procedure is computed via elementary symmetric polynomials on likelihood ratios plus a monotonicity theorem that enables an efficient bisection coordinate-descent algorithm.
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Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
Derives CLTs and asymptotic variances for IPW and AIPW estimators of ATE under a new design stability condition in adaptive randomization.