References
- Berry, D. A., Christensen, R. (1979). Empirical Bayes estimation of a binomial parameter via mixtures of dirichlet processes. The Annals of Statistics 7:558–568.
- Blackwell, D., MacQueen, J. B. (1973). Ferguson distributions via Pólya urn schemes. The Annals of Statistics 1:353–355.
- Bühlmann, H., Gisler, A. (2005). A Course in Credibility Theory and Its Applications. Berlin: Springer.
- Carlin, B. P., Louis, T. A. (2000). Bayes and Empirical Bayes Methods for Data Analysis. 2nd ed. New York: Chapman & Hall/CRC.
- Ferguson, T. S. (1973). A Bayesian analysis of some nonparametric problems. The Annals of Statistics 1:209–230.
- Ferguson, T. S. (1974). Prior distributions on spaces of probability measures. The Annals of Statistics 2:615–629.
- Garcia, J. M. G. (2011). A fixed-point algorithm to estimate the Yule-Simon distribution parameter. Applied Mathematics and Computation 217(21):8560–8566.
- Ghosh, J. K., Ramamoorthi, R. V. (2003). Bayesian Nonparametrics. New York: Springer-Verlag.
- Hjort, N. L., Holmes, C., Müller, P., Walker, S. G. (2010). Bayesian Nonparametrics. New York: Cambridge University Press.
- Korwar, R. M., Hollander, M. (1973). Contributions to the theory of Dirichlet processes. The Annals of Probability 1(4):705–711.
- Maritz, J. S., Lwin, T. (1989). Empirical Bayes Methods. 2nd ed. London: Chapman & Hall.
- McAuliffe, J. D., Blei, D. M., and Jordan, M. I. (2006). Nonparametric empirical Bayes for the Dirichlet process mixture model. Statistics and Computing 16:5–14.
- Morris, C. (1983). Parametric empirical Bayes inference: Theory and applications. Journal of the American Statistical Association 78:47–65.
- Müller, P., Rodriguez, A. (2013). Nonparametric Bayesian Inference, IMS-CBMS Lecture Notes. IMS, 270.
- Robbins, H. (1956). An empirical Bayes approach to statistics. In Proceedings of the 3rd Berkeley Symposium on Mathematical Statistics and Probability, 1. Berkeley, CA: University of California Press, pp. 157–163.
- Robbins, H. (1964). The empirical Bayes approach to statistical decision problems. The Annals of Mathematical Statistics 35:1–20.
- Robbins, H. (1983). Some thoughts on empirical Bayes estimation. The Annals of Statistics 11:713–723.
- Sethuraman, J. (1994). A constructive definition of Dirichlet priors. Statisica Sinica 4:639–650.
- van Houwelingen, J. C. (1977). Monotonizing empirical Bayes estimators for a class of discrete distributions with monotone likelihood ratio. Statistica Neerlandica 31(3):95–104.
- Wüthrich, M. V., Merz, M. (2008). Stochastic Claims Reserving Methods in Insurance. Chichester: John Wiley.
- Yang, L., Wu, X. Y. (2013). Estimation of dirichlet process priors with monotone missing data. Journal of Nonparametrics Statistics 25(4):787–807.
- Zehnwirth, B. (1979). Credibility and the dirichlet process. Scandinavian Actuarial Journal 1:13–23.
- Zehnwirth, B. (1981). A note on the asymptotic optimality of the empirical distribution function. The Annals of Statistics 9:221–224.