Jiannan Lu

activity

20152025

most citedContinuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing

18 citations · 87 across the 23 of their papers we have counts for

collaborators

Showing 2018Show all

3 papers · 1 filter

stat.AP2018★ 5 cited

Applying the Delta method in metric analytics: A practical guide with novel ideas

Alex Deng, Ulf Knoblich, Jiannan Lu

During the last decade, the information technology industry has adopted a data-driven culture, relying on online metrics to measure and monitor business performance. Under the sett…

stat.ME2018

Improved Neymanian analysis for $2^{K}$ factorial designs with binary outcomes

Jiannan Lu

$2^{K}$ factorial designs are widely adopted by statisticians and the broader scientific community. In this short note, under the potential outcomes framework (Neyman, 1923; Rubin, 1…

stat.ME2018★ 2 cited

On finite-population Bayesian inferences for $2^{K}$ factorial designs with binary outcomes

Jiannan Lu

Inspired by the pioneering work of Rubin (1978), we employ the potential outcomes framework to develop a finite-population Bayesian causal inference framework for randomized contro…

Applying the Delta method in metric analytics: A practical guide with novel ideas

Improved Neymanian analysis for 2K factorial designs with binary outcomes

On finite-population Bayesian inferences for 2K factorial designs with binary outcomes

Improved Neymanian analysis for $2^{K}$ factorial designs with binary outcomes

On finite-population Bayesian inferences for $2^{K}$ factorial designs with binary outcomes