AOS

Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality

Authors
Fang Yao Shunxing Yan
Research Topics
Machine Learning High-Dimensional Statistics
View Full Paper
Paper Information
  • Journal:
    Annals of Statistics
  • Added to Tracker:
    Aug 21, 2026
Author Details
Fang Yao
Author
Shunxing Yan
Author
Research Topics & Keywords
Machine Learning
Research Area
High-Dimensional Statistics
Research Area
Citation Information
APA Format
Fang Yao & Shunxing Yan . Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality. Annals of Statistics .
BibTeX Format
@article{paper1512,
  title = { Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality },
  author = { Fang Yao and Shunxing Yan },
  journal = { Annals of Statistics },
  url = { https://www.e-publications.org/ims/submission/AOS/user/submissionFile/70639?confirm=e3265ba5 }
}
Back to Papers