A non-parametric two-stage Bayesian model using Dirichlet distribution

摘要

As an alternative to standard two-stage Bayesian models, a non-parametric or Dirichelet two-stage model is presented. The analytic solution of the model and its clear interpretation are its main advantages over the classical models. A number of case study are simulated in order to check the robustness of the model. Three data sets from German project - ZEDB are also used to compare the results of the Dirichelet model with the results for standard one-stage and two-stage Bayesian models.