JASA Aug 06, 2026

A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes

Authors
Shu Yang Shih-Ni Prim Yawen Guan Ana G Rappold K. Lloyd Hill Wei-Lun Tsai Corinna Keeler Brian J Reich
Research Topics
Machine Learning
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2714568
  • Published:
    August 06, 2026
  • Added to Tracker:
    Aug 07, 2026
Author Details
Shu Yang
Author
Shih-Ni Prim
Author
Yawen Guan
Author
Ana G Rappold
Author
K. Lloyd Hill
Author
Wei-Lun Tsai
Author
Corinna Keeler
Author
Brian J Reich
Author
Research Topics & Keywords
Machine Learning
Research Area
Citation Information
APA Format
Shu Yang , Shih-Ni Prim , Yawen Guan , Ana G Rappold , K. Lloyd Hill , Wei-Lun Tsai , Corinna Keeler & Brian J Reich (2026) . A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes. Journal of the American Statistical Association , 10.1080/01621459.2026.2714568.
BibTeX Format
@article{paper1499,
  title = { A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes },
  author = { Shu Yang and Shih-Ni Prim and Yawen Guan and Ana G Rappold and K. Lloyd Hill and Wei-Lun Tsai and Corinna Keeler and Brian J Reich },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2714568 },
  url = { https://doi.org/10.1080/01621459.2026.2714568 }
}
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