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\\ ==== Next talks ====
[[en:seminaires:StatP6P7:index|Statistics seminar]]\\
Tuesday December 9, 2025, 10:45AM, Jussieu en salle 15-16 201\\
**Pallavi Basu** (Indian School of Business) //Error Control and Decisions in Large-Scale Experiments//
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In this talk, I present three projects that address statistical decision-making in large-scale testing and experimentation. The first develops weighted FDR procedures that allow greater emphasis on scientifically important hypotheses while maintaining rigorous error control. The second introduces an empirical Bayes framework for controlling false discovery exceedance, aiming to reduce instances in which the false discovery proportion exceeds a specified threshold, rather than focusing solely on its expectation. The third extends these ideas to large-scale A/B testing by integrating lift, cost, and empirical Bayes modeling to obtain value-based rankings of experiments. Collectively, these papers trace a progression from weighted error control to tail-risk management to decision rules that incorporate business value in high-volume experimentation settings.
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[[en:seminaires:StatP6P7:index|Statistics seminar]]\\
Tuesday January 20, 2026, 10:45AM, Sophie Germain en salle 1013\\
**Laurent Oudre** (ENS Paris Saclay) //To be announced.//
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\\ ==== Previous talks ====
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\\ === Year 2021 ===

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