JASA May 18, 2026

Robust Sliced Inverse Regression: Optimal Estimation for Heavy-Tailed Data in High Dimensions

Authors
Jing Zeng Keqian Min Qing Mai
Research Topics
Machine Learning
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2674415
  • Published:
    May 18, 2026
  • Added to Tracker:
    May 19, 2026
Author Details
Jing Zeng
Author
Keqian Min
Author
Qing Mai
Author
Research Topics & Keywords
Machine Learning
Research Area
Citation Information
APA Format
Jing Zeng , Keqian Min & Qing Mai (2026) . Robust Sliced Inverse Regression: Optimal Estimation for Heavy-Tailed Data in High Dimensions. Journal of the American Statistical Association , 10.1080/01621459.2026.2674415.
BibTeX Format
@article{paper1188,
  title = { Robust Sliced Inverse Regression: Optimal Estimation for Heavy-Tailed Data in High Dimensions },
  author = { Jing Zeng and Keqian Min and Qing Mai },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2674415 },
  url = { https://doi.org/10.1080/01621459.2026.2674415 }
}
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