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R. Levy, & R. J. Mislevy, (2015). Bayesian Psychometric Modeling. Boca Raton, FL: Chapman And Hall/CRC.

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R. Levy, & R. J. Mislevy, (2015). Bayesian Psychometric Modeling. Boca Raton, FL: Chapman And Hall/CRC.

Published online by Cambridge University Press:  01 January 2025

Sarah Depaoli Open the ORCID record for Sarah Depaoli [Opens in a new window]  and
Yang Liu
Sarah Depaoli*
Affiliation:
University of California, Merced
Yang Liu
Affiliation:
University of California, Merced
*
[email protected]
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Abstract

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Type
Book Review
Information
Psychometrika , Volume 83 , Issue 2 , June 2018 , pp. 511 - 514
Copyright
Copyright © 2017 The Psychometric Society

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References

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..Google Scholar
Depaoli, S., & van de Schoot, R., (in press). Improving transparency and replication in Bayesian statistics: The WAMBS-checklist. Psychological Methods.Google Scholar
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.CrossRefGoogle Scholar
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.CrossRefGoogle Scholar
Kruschke, J.K.Doing Bayesian analysis: A tutorial with R, Jags, and STAN 2015 San Diego, CA:Academic Press.Google Scholar
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.CrossRefGoogle Scholar
Plummer, M., (2015). JAGS Version 4.0.0 user manual. http://sourceforge.net/projects/mcmc-jags/files/Manuals/4.x/.Google Scholar
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..Google Scholar
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..Google Scholar