Authors and Citation

Authors

• Paul-Christian Bürkner. Author, maintainer.

• Jonah Gabry. Author.

• Matthew Kay. Author.

• Aki Vehtari. Author.

• Måns Magnusson. Contributor.

• Rok Češnovar. Contributor.

• Ben Lambert. Contributor.

• Ozan Adıgüzel. Contributor.

• Jacob Socolar. Contributor.

• Noa Kallioinen. Contributor.

• Teemu Säilynoja. Contributor.

Citation

Bürkner P, Gabry J, Kay M, Vehtari A (2026). “posterior: Tools for Working with Posterior Distributions.” R package version 1.7.0, https://mc-stan.org/posterior/.

@Misc{,
  title = {posterior: Tools for Working with Posterior Distributions},
  author = {Paul-Christian Bürkner and Jonah Gabry and Matthew Kay and Aki Vehtari},
  year = {2026},
  note = {R package version 1.7.0},
  url = {https://mc-stan.org/posterior/},
}

Vehtari A, Gelman A, Simpson D, Carpenter B, Bürkner P (2021). “Rank-normalization, folding, and localization: An improved Rhat for assessing convergence of MCMC (with discussion).” Bayesian Analysis, 16(2), 667-718.

@Article{,
  title = {Rank-normalization, folding, and localization: An improved Rhat
for assessing convergence of MCMC (with discussion)},
  author = {Aki Vehtari and Andrew Gelman and Daniel Simpson and Bob Carpenter and Paul-Christian Bürkner},
  journal = {Bayesian Analysis},
  year = {2021},
  volume = {16},
  number = {2},
  pages = {667-718},
}

Margossian C, Hoffman M, Sountsov P, Riou-Durand L, Vehtari A, Gelman A (2024). “Nested Rhat: Assessing the convergence of Markov chain Monte Carlo when running many short chains.” Bayesian Analysis. doi:10.1214/24-BA1453.

@Article{,
  title = {Nested Rhat: Assessing the convergence of Markov chain Monte Carlo when running many short chains},
  author = {Charles C. Margossian and Matthew D. Hoffman and Pavel Sountsov and Lionel Riou-Durand and Aki Vehtari and Andrew Gelman},
  journal = {Bayesian Analysis},
  year = {2024},
  doi = {10.1214/24-BA1453},
}

Lambert B, Vehtari A (2022). “Rstar: A robust MCMC convergence diagnostic with uncertainty using decision tree classifiers.” Bayesian Analysis, 17(2), 353-379. doi:10.1214/20-BA1252.

@Article{,
  title = {Rstar: A robust MCMC convergence diagnostic with uncertainty using decision tree classifiers},
  author = {Ben Lambert and Aki Vehtari},
  journal = {Bayesian Analysis},
  year = {2022},
  volume = {17},
  number = {2},
  pages = {353-379},
  doi = {10.1214/20-BA1252},
}

Vehtari A, Simpson D, Gelman A, Yao Y, Gabry J (2024). “Pareto smoothed importance sampling.” Journal of Machine Learning Research, 25(72), 1-58.

@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},
}