no code implementations • 20 Dec 2023 • Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
The selection of the assumed effect size (AES) critically determines the duration of an experiment, and hence its accuracy and efficiency.
no code implementations • 2 Apr 2023 • Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
With the growing needs of online A/B testing to support the innovation in industry, the opportunity cost of running an experiment becomes non-negligible.
no code implementations • 23 Nov 2021 • Thomas Richardson, Yu Liu, James McQueen, Doug Hains
Given observations on the number of unique users participating in an initial period, we present a simple but novel Bayesian method for predicting the number of additional individuals who will participate during a subsequent period.