18 citations · 87 across the 23 of their papers we have counts for
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stat.AP2019★ 10 cited
On Post-Selection Inference in A/B Tests
Alex Deng, Yicheng Li, Jiannan Lu +1
When interpreting A/B tests, we typically focus only on the statistically significant results and take them by face value. This practice, termed post-selection inference in the sta…
stat.AP2019
On Heavy-user Bias in A/B Testing
Yu Wang, Somit Gupta, Jiannan Lu +2
On-line experimentation (also known as A/B testing) has become an integral part of software development. To timely incorporate user feedback and continuously improve products, many…