To cite the loo R package: Vehtari A, Gabry J, Magnusson M, Yao Y, Bürkner P, Paananen T, Gelman A (2025). “loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models.” R package version 2.9.0, . A BibTeX entry for LaTeX users is @Misc{, title = {loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models}, author = {Aki Vehtari and Jonah Gabry and Måns Magnusson and Yuling Yao and Paul-Christian Bürkner and Topi Paananen and Andrew Gelman}, year = {2025}, note = {R package version 2.9.0}, url = {https://mc-stan.org/loo/}, } To cite the loo paper: Vehtari A, Gelman A, Gabry J (2017). “Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC.” _Statistics and Computing_, *27*, 1413-1432. doi:10.1007/s11222-016-9696-4 . A BibTeX entry for LaTeX users is @Article{, title = {Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC}, author = {Aki Vehtari and Andrew Gelman and Jonah Gabry}, year = {2017}, journal = {Statistics and Computing}, volume = {27}, issue = {5}, pages = {1413--1432}, doi = {10.1007/s11222-016-9696-4}, } To cite when using loo_compare(): Sivula T, Magnusson M, Matamoros A, Vehtari A (2025). “Uncertainty in Bayesian leave-one-out cross-validation based model comparison.” _Bayesian Analysis_. doi:10.1214/24-BA1453. A BibTeX entry for LaTeX users is @Article{, title = {Uncertainty in Bayesian leave-one-out cross-validation based model comparison}, author = {Tuomas Sivula and Måns Magnusson and Asael Alonzo Matamoros and Aki Vehtari}, journal = {Bayesian Analysis}, year = {2025}, note = {doi:10.1214/24-BA1453}, } To cite the stacking paper: Yao Y, Vehtari A, Simpson D, Gelman A (2018). “Using stacking to average Bayesian predictive distributions.” _Bayesian Analysis_, *13*, 917-1007. doi:10.1214/17-BA1091 . A BibTeX entry for LaTeX users is @Article{, title = {Using stacking to average Bayesian predictive distributions}, author = {Yuling Yao and Aki Vehtari and Daniel Simpson and Andrew Gelman}, journal = {Bayesian Analysis}, year = {2018}, volume = {13}, issue = {3}, pages = {917--1007}, doi = {10.1214/17-BA1091}, } To cite Pareto-k diagnostics: Vehtari A, Simpson D, Gelman A, Yao Y, Gabry J (2024). “Pareto smoothed importance sampling.” _Journal of Machine Learning Research_, *25*(72), 1-58. A BibTeX entry for LaTeX users is @Article{, title = {Pareto smoothed importance sampling}, author = {Aki Vehtari and Daniel Simpson and Andrew Gelman and Yuling Yao and Jonah Gabry}, journal = {Journal of Machine Learning Research}, year = {2024}, volume = {25}, number = {72}, pages = {1-58}, } To cite moment matching: Paananen T, Piironen J, Buerkner P, Vehtari A (2021). “Implicitly adaptive importance sampling.” _Statistics and Computing_, *31*, 16. A BibTeX entry for LaTeX users is @Article{, author = {Topi Paananen and Juho Piironen and Paul-Christian Buerkner and Aki Vehtari}, title = {Implicitly adaptive importance sampling}, journal = {Statistics and Computing}, volume = {31}, pages = {16}, year = {2021}, } To cite subsampling loo: Magnusson M, Andersen M, Jonasson J, Vehtari A (2019). “Leave-One-Out Cross-Validation for Large Data.” In _Thirty-sixth International Conference on Machine Learning_, volume 97, 4244-4253. A BibTeX entry for LaTeX users is @InProceedings{, author = {Måns Magnusson and Michael Riis Andersen and Johan Jonasson and Aki Vehtari}, title = {Leave-One-Out Cross-Validation for Large Data}, booktitle = {Thirty-sixth International Conference on Machine Learning}, publisher = {PMLR}, volume = {97}, pages = {4244-4253}, year = {2019}, } To cite subsampling loo: Magnusson M, Andersen M, Jonasson J, Vehtari A (2019). “Leave-One-Out Cross-Validation for Model Comparison in Large Data.” In _Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)_, volume 108, 341-351. A BibTeX entry for LaTeX users is @InProceedings{, author = {Måns Magnusson and Michael Riis Andersen and Johan Jonasson and Aki Vehtari}, title = {Leave-One-Out Cross-Validation for Model Comparison in Large Data}, booktitle = {Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)}, publisher = {PMLR}, volume = {108}, pages = {341-351}, year = {2019}, }