1. Almond, R. (2014). Comparison of two MCMC algorithms for hierarchical mixture models. In Bayesian Modeling Application Workshop at the Uncertainty in Artificial Intelligence Conference (pp. 1–19). Corvallis, OR: AUAI Press.
2. Annis, J., Miller, B. J., & Palmeri, T. J. (2017). Bayesian inference with Stan: A tutorial on adding custom distributions. Behavior Research Methods, 49, 863–886. doi:
https://doi.org/10.3758/s13428-016-0746-9
3. Betancourt, M. J., Byrne, S., & Girolami, M. (2014). Optimizing the integrator step size for Hamiltonian Monte Carlo. arXiv:1411.6669
4. Carpenter, B., Gelman, A., Hoffman, M., Lee, D., Goodrich, B., Betancourt, M., … Riddell, A. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, 20, 1–37.
5. Culpepper, S. A. (2015). Bayesian estimation of the DINA model with Gibbs sampling. Journal of Educational and Behavioral Statistics, 40, 454–476.