JASA Dec 08, 2025

High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections

Authors
Jiaxin Shi Xuening Zhu Jing Zhou Baichen Yu Hansheng Wang
Research Topics
Machine Learning High-Dimensional Statistics
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2025.2562644
  • Published:
    December 08, 2025
  • Added to Tracker:
    Feb 10, 2026
Author Details
Jiaxin Shi
Author
Xuening Zhu
Author
Jing Zhou
Author
Baichen Yu
Author
Hansheng Wang
Author
Research Topics & Keywords
Machine Learning
Research Area
High-Dimensional Statistics
Research Area
Citation Information
APA Format
Jiaxin Shi , Xuening Zhu , Jing Zhou , Baichen Yu & Hansheng Wang (2025) . High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections. Journal of the American Statistical Association , 10.1080/01621459.2025.2562644.
BibTeX Format
@article{paper800,
  title = { High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections },
  author = { Jiaxin Shi and Xuening Zhu and Jing Zhou and Baichen Yu and Hansheng Wang },
  journal = { Journal of the American Statistical Association },
  year = { 2025 },
  doi = { 10.1080/01621459.2025.2562644 },
  url = { https://doi.org/10.1080/01621459.2025.2562644 }
}
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