Derivation of a full Gibbs sampler for a finite mixture model with a uniform Dirichlet prior, as a step toward the Dirichlet Process Mixture Model.
A 2015 interview with me on my wandering road to data science and my love of remote work.
An alternative view of latent Dirichlet allocation using a Dirichlet process, and a demonstration of how it can be easily extended to a nonparametric model using a hierarchical Dirichlet process.
Code demonstrating how you can sample from a hierarchical Dirichlet process without generating an infinite number of parameters first.
A quick review of the Dirichlet distribution and an introduction to the Dirichlet process by analogy with the Dirichlet distribution.