References
- Carlin, B. P., and Louis, T. A. (2008), Bayesian Methods for Data Analysis, Boca Raton, FL: CRC Press.
- Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M., Guo, J., Li, P., and Riddell, A. (2017), “Stan: A Probabilistic Programming Language,” Journal of Statistical Software, 76, 1–43. DOI: 10.18637/jss.v076.i01.
- Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and Rubin, D. B. (2013), Bayesian Data Analysis, Texts in Statistical Science, Boca Raton, FL: CRC Press.
- Gill, J. (2014), Bayesian Methods: A social and Behavioral Sciences Approach (Vol. 20), Boca Raton, FL: CRC Press.
- Hoff, P. D. (2009), A First Course in Bayesian Statistical Methods (Vol. 580), New York: Springer.
- Jackman, S. (2009), Bayesian Analysis for the Social Sciences (Vol. 846), New York: Wiley.
- Kruschke, J. (2014), Doing Bayesian Data Analysis: A Tutorial With R, JAGS, and Stan, Boston, MA: Academic Press.
- Link, W. A., and Barker, R. J. (2009), Bayesian Inference: With Ecological Applications, Boston, MA: Academic Press.
- Lunn, D., Jackson, C., Best, N., Thomas, A., and Spiegelhalter, D. (2012), The BUGS Book: A Practical Introduction to Bayesian Analysis, Boca Raton, FL: CRC Press.