JASA Sep 28, 2026

ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Experiments

Authors
Ke Sun Linglong Kong Hongtu Zhu Chengchun Shi
Research Topics
Hypothesis Testing
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2735068
  • Published:
    September 28, 2026
  • Added to Tracker:
    Sep 29, 2026
Author Details
Ke Sun
Author
Linglong Kong
Author
Hongtu Zhu
Author
Chengchun Shi
Author
Research Topics & Keywords
Hypothesis Testing
Research Area
Citation Information
APA Format
Ke Sun , Linglong Kong , Hongtu Zhu & Chengchun Shi (2026) . ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Experiments. Journal of the American Statistical Association , 10.1080/01621459.2026.2735068.
BibTeX Format
@article{paper1693,
  title = { ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Experiments },
  author = { Ke Sun and Linglong Kong and Hongtu Zhu and Chengchun Shi },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2735068 },
  url = { https://doi.org/10.1080/01621459.2026.2735068 }
}
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