Treatment Effect Detection with Controlled FDR under Dependence for Large-Scale Experiments

Online controlled experiments (also known as A/B Testing) have been viewed as a golden standard for large data-driven companies since the last few decades. The most common A/B testing framework adopted by many companies use "average treatment effect" (ATE) as statistics. However, it remain...

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Veröffentlicht in:	arXiv.org 2021-10
Hauptverfasser:	Bao, Yihan, Han, Shichao, Wang, Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Control algorithms Control methods Experimentation Statistical methods
Online-Zugang:	Volltext
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