JASA

Inference on the proportion of variance explained in principal component analysis

Authors
Ronan Perry Snigdha Panigrahi Jacob Bien Daniela Witten
Research Topics
Machine Learning
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2025.2538895
  • Added to Tracker:
    Sep 03, 2025
Author Details
Ronan Perry
Author
Snigdha Panigrahi
Author
Jacob Bien
Author
Daniela Witten
Author
Research Topics & Keywords
Machine Learning
Research Area
Citation Information
APA Format
Ronan Perry , Snigdha Panigrahi , Jacob Bien & Daniela Witten . Inference on the proportion of variance explained in principal component analysis. Journal of the American Statistical Association , 10.1080/01621459.2025.2538895.
BibTeX Format
@article{paper451,
  title = { Inference on the proportion of variance explained in principal component analysis },
  author = { Ronan Perry and Snigdha Panigrahi and Jacob Bien and Daniela Witten },
  journal = { Journal of the American Statistical Association },
  doi = { 10.1080/01621459.2025.2538895 },
  url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2538895 }
}
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