Book Review

This is a preview of subscription content, log in to check access.


  1. Carpenter, R., Gelman, A., Hoffman, M., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M. A., Guo, J., Li, P., & Riddell, A. (2016). Stan: A probabilistic programming language.Journal of Statistical Software.

  2. Depaoli, S., & van de Schoot, R. (in press). Improving transparency and replication in Bayesian statistics: The WAMBS-checklist. Psychological Methods.

  3. Gelman, A., Bois, F., & Jiang, J. (1996). Physiological pharmacokinetic analysis using population modeling and informative prior distributions. Journal of the American Statistical Association, 91, 1400–1412.

    Article  Google Scholar 

  4. Gelman, A., Lee, D., & Guo, J. (2015). Stan: A probabilistic programming language for Bayesian inference and optimization. Journal of Educational and Behavior Statistics, 40, 530–543.

    Article  Google Scholar 

  5. Kruschke, J. K. (2015). Doing Bayesian analysis: A tutorial with R, Jags, and STAN. San Diego, CA: Academic Press.

    Google Scholar 

  6. O’Hagan, A., Buck, C. E., Daneshkhah, A., Eiser, J. R., Garthwaite, P. H., Jenkinson, D. J., et al. (2006). Uncertain judgements: Eliciting experts’ probabilities. West Sussex: Wiley.

    Google Scholar 

  7. Plummer, M. (2015). JAGS Version 4.0.0 user manual.

  8. Plummer, M., Best, N., Cowles, K., Vines, K., Sarkar, D., Bates, D., Almond, R., & Magnusson, A. (2015). coda: Output analysis and diagnostics for MCMC. R package version 0.18-1.

  9. Van de Schoot, R., Winter, S., Ryan, O., Zondervan-Zwijnenburg, M., & Depaoli, S. (in press). A systematic review of Bayesian papers in psychology: The last 25 years. Psychological Methods.

Download references

Author information



Corresponding author

Correspondence to Sarah Depaoli.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Depaoli, S., Liu, Y. Book Review. Psychometrika 83, 511–514 (2018).

Download citation