2 papers
econ.TH2026
Rewarding Noise: Incentives in Decentralized A/B Testing
Ryan Kessler
Many firms that run A/B tests struggle with low statistical power, increasing the risk that launch decisions are driven by noise rather than true impact. We argue that in decentral…
econ.EM2025
Evaluating A/B Testing Methodologies via Sample Splitting: Theory and Practice
Ryan Kessler, James McQueen, Miikka Rokkanen
We develop a theoretical framework for sample splitting in A/B testing environments, where data for each test are partitioned into two splits to measure methodological performance…