A Bayesian Hierarchical Model for Related Densities by using Pólya Trees
基于Pólya树的相关密度贝叶斯层级模型
Summary Bayesian hierarchical models are used to share information between related samples and to obtain more accurate estimates of sample level parameters, common structure and variation between samples. When the parameter of interest is the distribution or density of a continuous variable, a hierarchical model for continuous distributions is required. Various such models have been described in the literature using extensions of the Dirichlet process and related processes,…