Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives

Ding Xiang, Rebecca West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang. Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 4204-4214, ACM, 2022. [doi]

@inproceedings{XiangWWCH22,
  title = {Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives},
  author = {Ding Xiang and Rebecca West and Jiaqi Wang and Xiquan Cui and Jinzhou Huang},
  year = {2022},
  doi = {10.1145/3534678.3539144},
  url = {https://doi.org/10.1145/3534678.3539144},
  researchr = {https://researchr.org/publication/XiangWWCH22},
  cites = {0},
  citedby = {0},
  pages = {4204-4214},
  booktitle = {KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022},
  editor = {Aidong Zhang and Huzefa Rangwala},
  publisher = {ACM},
  isbn = {978-1-4503-9385-0},
}