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stat.ME2025
Evaluating Variance Estimates with Relative Efficiency
Kedar Karhadkar, Jack Klys, Daniel Ting +2
Experimentation platforms in industry must often deal with customer trust issues. Platforms must prove the validity of their claims as well as catch issues that arise. As a central…
stat.AP2025
Bayesian Predictive Probabilities for Online Experimentation
Abbas Zaidi, Rina Friedberg, Samir Khan +4
The widespread adoption of online randomized controlled experiments (A/B Tests) for decision-making has created ongoing capacity constraints which necessitate interim analyses. As…
stat.ME2025
Breaking the Winner's Curse with Bayesian Hybrid Shrinkage
Richard Mudd, Rina Friedberg, Ilya Gorbachev +2
A 'Winner's Curse' arises in large-scale online experimentation platforms when the same experiments are used to both select treatments and evaluate their effects. In these settings…