3 papers
stat.ME2026
Estimating the True Effect Size Distribution with SIMEX
Zhaoqi Li, Daniel Ting, Ilya Gorbachev +2
Large-scale online experimentation produces noisy effect estimates, which can overstate gains and complicate decisions about launches and testing policies. We propose a nonparametr…
stat.ME2026
Outlier Impact: Detection by Consequences
Daniel Ting, Ilya Gorbachev, Sammy Shen
We introduce a novel outlier detection method that utilizes a concrete measure of the statistical impact of an outlier rather than a vague notion of "unusualness". This allows prac…
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…