SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration
Summary: SHEVA is a visual-analytics EDA platform that guides stepwise, hierarchical exploration of one- and two-sample hypotheses while mitigating multiple-hypothesis testing artifacts. Implements significance adjustments for data-informed coverage/novelty, policy-driven recommendations, interpretable visual encodings, and reusable hypothesis pipelines. (summarized by gpt-5-mini on Feb 09 2026)
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| 2,734 | Controlling False Discoveries During Interactive Data Exploration | 2017 | SIGMOD | 8.2078306e-05 |
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