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Exact Anytime-valid Confidence Intervals for Contingency Tables and Beyond

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arxiv 2203.09785 v2 pith:P73BCYLM submitted 2022-03-18 stat.ME

Rosanne Turner , Peter Grünwald This is my paper · ORCID
classification stat.ME
keywords anytime-validconfidencecontingencye-variablesrisktablesbeyonddifference
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E-variables are tools for retaining type-I error guarantee with optional stopping. We extend E-variables for sequential two-sample tests to general null hypotheses and anytime-valid confidence sequences. We provide implementations for estimating risk difference, relative risk and odds-ratios in contingency tables.

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  1. Efficient Sequential Evaluation of Large Language Models

    stat.ML 2026-07 conditional novelty 5.0 of 10

    A confidence-sequence framework for sequentially estimating an LLM's average benchmark accuracy under adaptive question selection, with growth-oriented sampling rules that in practice often lose to uniform sampling.

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