Turek, Daniel. "Case Study 31: Developing, Testing, and Deploying Efficient MCMC Algorithms for Hierarchical Models Using R".
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, edited by Justin Kitzes, Berkeley: University of California Press, 2017, pp. 323-328.
https://doi.org/10.1525/9780520967779-040Turek, D. (2017). Case Study 31: Developing, Testing, and Deploying Efficient MCMC Algorithms for Hierarchical Models Using R. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 323-328). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-040Turek, D. 2017. Case Study 31: Developing, Testing, and Deploying Efficient MCMC Algorithms for Hierarchical Models Using R. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 323-328.
https://doi.org/10.1525/9780520967779-040Turek, Daniel. "Case Study 31: Developing, Testing, and Deploying Efficient MCMC Algorithms for Hierarchical Models Using R" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 323-328. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-040Turek D. Case Study 31: Developing, Testing, and Deploying Efficient MCMC Algorithms for Hierarchical Models Using R. In: Kitzes J (ed.)
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press; 2017. p.323-328.
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