This document discusses Bayesian nonparametric modeling and summarizes the seminal 1973 paper by Ferguson that proposed the Dirichlet process. The Dirichlet process satisfies the requirements of having a large support for the prior while maintaining a tractable posterior. The paper outlines several formulations of the Dirichlet process, including using the Dirichlet distribution, Gamma process, Pólya urn scheme, and stick-breaking construction. It also notes that the paper suggests applications of the Dirichlet process using Bayesian rules.