References
- Bush, C. A., and S. N. MacEachern. 1996. A semiparametric Bayesian model for randomized block sesigns. Biometrika 83 (2):275–85. doi:10.1093/biomet/83.2.275.
- Escobar, M. D., and M. West. 1995. Bayesian density estimation and inference using mixtures. Journal of the American Statistical Association 9:577–88. doi:10.1080/01621459.1995.10476550.
- Escobar, M. D. 1988. Estimating the means of several normal populations by nonparametric estimation of the distributions of the means. Unpublished doctoral thesis, Department of statistics, Yale University.
- Ishwaran, H., and L. James. 2001. Gibbs sampling methods for stick-breaking priors. Journal of the American Statistical Association 96 (453):161–73. doi:10.1198/016214501750332758.
- Ishwaran, H., L. F. James, and S. Jiayang. 2001. Bayesian model selection in finite mixtures by marginal density decompositions. Journal of the American Statistical Association 96 (456):1316–32. doi:10.1198/016214501753382255.
- Ishwaran, H., and M. Zarepour. 2000. Markov Chain Monte Carlo in approximate Dirichlet and Beta two-parameter process Hierarchical Models. Biometrika 87 (2):371–90. doi:10.1093/biomet/87.2.371.
- Lahman, S. 2004. The Lahman baseball database. http://www.baseball1.com (accessed September 25, 2017).
- MacEachern, S. N., and P. Muller. 1998. Estimating mixture of Dirichlet processmodels. Journal of Computational and Graphical Statistics 7:223–38. doi:10.2307/1390815.
- Neal, R. M. 2000. Marcov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics 9:249–65. doi:10.1080/10618600.2000.10474879.
- Petrone, S. 1999a. Bayesian density estimation using Bernstein polynomials. Canadian Journal of Statistics 27 (1):105–26. doi:10.2307/3315494.
- Petrone, S. 1999b. Random Bernstein Polynomials. Scandinavian Journal of Statistics 26 (3):373–93. doi:10.1111/1467-9469.00155.
- Sethuraman, J. 1994. A constructive definition of Dirichlet prior. Statistica Sinica 2:639–50.
- Zhang, T., and J. S. Liu. 2012. Nonparametric hierarchical Bayes analysis of binomial data via bernstein polynomial priors. Canadian Journal of Statistics 40 (2):328–44. doi:10.1002/cjs.11133.