JASA

Conjugate gradient methods for high-dimensional GLMMs

Authors
Andrea Pandolfi Omiros Papaspiliopoulos Giacomo Zanella
Research Topics
High-Dimensional Statistics
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2025.2573522
  • Added to Tracker:
    Nov 15, 2025
Author Details
Andrea Pandolfi
Author
Omiros Papaspiliopoulos
Author
Giacomo Zanella
Author
Research Topics & Keywords
High-Dimensional Statistics
Research Area
Citation Information
APA Format
Andrea Pandolfi , Omiros Papaspiliopoulos & Giacomo Zanella . Conjugate gradient methods for high-dimensional GLMMs. Journal of the American Statistical Association , 10.1080/01621459.2025.2573522.
BibTeX Format
@article{paper596,
  title = { Conjugate gradient methods for high-dimensional GLMMs },
  author = { Andrea Pandolfi and Omiros Papaspiliopoulos and Giacomo Zanella },
  journal = { Journal of the American Statistical Association },
  doi = { 10.1080/01621459.2025.2573522 },
  url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2573522 }
}
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