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https://github.com/avehtari/rhat_ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
https://github.com/avehtari/rhat_ess

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics markov-chain-monte-carlo

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Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

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README

          

This repository contains tex, code, and online appendix for

Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter,
Paul-Christian Bürkner (2020): Rank-normalization, folding, and
localization: An improved R-hat for assessing convergence of
MCMC. *Bayesian analysis*, 16(2):667-718. [doi:10.1214/20-BA1221](https://doi.org/10.1214/20-BA1221).

- [Online at Bayesian analysis (with discussion)](https://doi.org/10.1214/20-BA1221)
- [Preprint](http://arxiv.org/pdf/1903.08008.pdf)
- [Online appendix in html](https://avehtari.github.io/rhat_ess/rhat_ess.html)
- [Online appendix 2: Comparison of ESS and MCSE estimators](https://avehtari.github.io/rhat_ess/ess_comparison.html)
- [monitornew.R](https://github.com/avehtari/rhat/blob/master/code/monitornew.R)
- [monitorplot.R](https://github.com/avehtari/rhat/blob/master/code/monitorplot.R)