Juho Piironen. Author.
Markus Paasiniemi. Author.
Alejandro Catalina. Author.
Frank Weber. Maintainer, author.
Aki Vehtari. Author.
Jonah Gabry. Contributor.
Marco Colombo. Contributor.
Paul-Christian Bürkner. Contributor.
Hamada S. Badr. Contributor.
Brian Sullivan. Contributor.
Sölvi Rögnvaldsson. Contributor.
The LME4 Authors. Copyright holder.
see file 'LICENSE' for details
Yann McLatchie. Contributor.
Juho Timonen. Contributor.

Citation

Source: inst/CITATION

Piironen J, Paasiniemi M, Catalina A, Weber F, Vehtari A (2023). “projpred: Projection Predictive Feature Selection.” R package version 2.8.0, https://mc-stan.org/projpred/.

@Misc{,
  title = {{{projpred}}: {{Projection}} Predictive Feature Selection},
  author = {Juho Piironen and Markus Paasiniemi and Alejandro Catalina and Frank Weber and Aki Vehtari},
  year = {2023},
  note = {R package version 2.8.0},
  url = {https://mc-stan.org/projpred/},
  encoding = {UTF-8},
}

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.

@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},
}

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.

@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},
}

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.

@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},
}

Weber F, Glass Ä, Vehtari A (2023). “Projection Predictive Variable Selection for Discrete Response Families with Finite Support.” doi:10.48550/arXiv.2301.01660.

@Misc{,
  title = {Projection Predictive Variable Selection for Discrete Response Families with Finite Support},
  author = {Frank Weber and Änne Glass and Aki Vehtari},
  year = {2023},
  publisher = {{arXiv}},
  doi = {10.48550/arXiv.2301.01660},
  encoding = {UTF-8},
}

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

@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},
}

Authors

Citation