Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
狄利克雷过程的混合及其贝叶斯非参数应用
A random process called the Dirichlet process whose sample functions are almost surely probability measures has been proposed by Ferguson as an approach to analyzing nonparametric problems from a Bayesian viewpoint. An important result obtained by Ferguson in this approach is that if observations are made on a random variable whose distribution is a random sample function of a Dirichlet process, then the conditional distribution of the random measure can be easily…