To cite the 'projpred' R package:

  Piironen J, Paasiniemi M, Catalina A, Weber F, Martin O, Vehtari A
  (2025). “projpred: Projection Predictive Feature Selection.” R
  package version 2.9.0, <https://mc-stan.org/projpred/>.

A BibTeX entry for LaTeX users is

  @Misc{,
    title = {{{projpred}}: {{Projection}} Predictive Feature Selection},
    author = {Juho Piironen and Markus Paasiniemi and Alejandro Catalina and Frank Weber and Osvaldo Martin and Aki Vehtari},
    year = {2025},
    note = {R package version 2.9.0},
    url = {https://mc-stan.org/projpred/},
    encoding = {UTF-8},
  }

To cite the 'projpred' comparison paper:

  Piironen J, Vehtari A (2017). “Comparison of Bayesian Predictive
  Methods for Model Selection.” _Statistics and Computing_, *27*(3),
  711-735. doi:10.1007/s11222-016-9649-y
  <https://doi.org/10.1007/s11222-016-9649-y>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Comparison of {{Bayesian}} Predictive Methods for Model Selection},
    author = {Juho Piironen and Aki Vehtari},
    year = {2017},
    journal = {Statistics and Computing},
    volume = {27},
    number = {3},
    pages = {711--735},
    doi = {10.1007/s11222-016-9649-y},
  }

To cite the 'projpred' GLM paper:

  Piironen J, Paasiniemi M, Vehtari A (2020). “Projective Inference in
  High-Dimensional Problems: Prediction and Feature Selection.”
  _Electronic Journal of Statistics_, *14*(1), 2155-2197.
  doi:10.1214/20-EJS1711 <https://doi.org/10.1214/20-EJS1711>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Projective Inference in High-Dimensional Problems: {{Prediction}} and Feature Selection},
    author = {Juho Piironen and Markus Paasiniemi and Aki Vehtari},
    year = {2020},
    journal = {Electronic Journal of Statistics},
    volume = {14},
    number = {1},
    pages = {2155--2197},
    doi = {10.1214/20-EJS1711},
  }

To cite the 'projpred' GLMMs, GAMs, and GAMMs paper:

  Catalina A, Bürkner P, Vehtari A (2022). “Projection Predictive
  Inference for Generalized Linear and Additive Multilevel Models.” In
  Camps-Valls G, Ruiz F, Valera I (eds.), _Proceedings of The 25th
  International Conference on Artificial Intelligence and Statistics_,
  volume 151 series Proceedings of Machine Learning Research,
  4446-4461. <https://proceedings.mlr.press/v151/catalina22a.html>.

A BibTeX entry for LaTeX users is

  @InProceedings{,
    title = {Projection Predictive Inference for Generalized Linear and Additive Multilevel Models},
    booktitle = {Proceedings of {{The}} 25th {{International Conference}} on {{Artificial Intelligence}} and {{Statistics}}},
    author = {Alejandro Catalina and Paul-Christian Bürkner and Aki Vehtari},
    editor = {Gustau Camps-Valls and Francisco J. R. Ruiz and Isabel Valera},
    year = {2022},
    month = {28--30 Mar},
    series = {Proceedings of {{Machine Learning Research}}},
    volume = {151},
    pages = {4446--4461},
    publisher = {{PMLR}},
    url = {https://proceedings.mlr.press/v151/catalina22a.html},
    encoding = {UTF-8},
  }

To cite the 'projpred' augmented-data projection paper:

  Weber F, Glass Ä, Vehtari A (2025). “Projection Predictive Variable
  Selection for Discrete Response Families with Finite Support.”
  _Computational Statistics_, *40*(2), 701-721.
  doi:10.1007/s00180-024-01506-0
  <https://doi.org/10.1007/s00180-024-01506-0>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Projection Predictive Variable Selection for Discrete Response Families with Finite Support},
    author = {Frank Weber and Änne Glass and Aki Vehtari},
    year = {2025},
    volume = {40},
    number = {2},
    pages = {701--721},
    journal = {Computational Statistics},
    doi = {10.1007/s00180-024-01506-0},
    encoding = {UTF-8},
  }

To cite the 'projpred' latent projection paper:

  Catalina A, Bürkner P, Vehtari A (2021). “Latent Space Projection
  Predictive Inference.” doi:10.48550/arXiv.2109.04702
  <https://doi.org/10.48550/arXiv.2109.04702>.

A BibTeX entry for LaTeX users is

  @Misc{,
    title = {Latent Space Projection Predictive Inference},
    author = {Alejandro Catalina and Paul Bürkner and Aki Vehtari},
    year = {2021},
    publisher = {{arXiv}},
    doi = {10.48550/arXiv.2109.04702},
    encoding = {UTF-8},
  }

To cite the 'projpred' workflow paper:

  McLatchie Y, Rögnvaldsson S, Weber F, Vehtari A (2025). “Advances in
  Projection Predictive Inference.” _Statistical Science_, *40*(1),
  128-147. doi:10.1214/24-STS949 <https://doi.org/10.1214/24-STS949>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Advances in Projection Predictive Inference},
    author = {Yann McLatchie and Sölvi Rögnvaldsson and Frank Weber and Aki Vehtari},
    year = {2025},
    journal = {Statistical Science},
    volume = {40},
    number = {1},
    pages = {128--147},
    doi = {10.1214/24-STS949},
    encoding = {UTF-8},
  }

To cite the subsampling LOO paper:

  Magnusson M, Andersen M, Jonasson J, Vehtari A (2020). “Leave-One-Out
  Cross-Validation for Bayesian Model Comparison in Large Data.” In
  Chiappa S, Calandra R (eds.), _Proceedings of The 23rd International
  Conference on Artificial Intelligence and Statistics_, volume 108
  series Proceedings of Machine Learning Research, 341-351.
  <https://proceedings.mlr.press/v108/magnusson20a.html>.

A BibTeX entry for LaTeX users is

  @InProceedings{,
    title = {Leave-One-Out Cross-Validation for {{Bayesian}} Model Comparison in Large Data},
    booktitle = {Proceedings of {{The}} 23rd {{International Conference}} on {{Artificial Intelligence}} and {{Statistics}}},
    author = {Måns Magnusson and Michael Riis Andersen and Johan Jonasson and Aki Vehtari},
    editor = {Silvia Chiappa and Roberto Calandra},
    year = {2020},
    month = {26--28 Aug},
    series = {Proceedings of {{Machine Learning Research}}},
    volume = {108},
    pages = {341--351},
    publisher = {{PMLR}},
    url = {https://proceedings.mlr.press/v108/magnusson20a.html},
    encoding = {UTF-8},
  }