This page contains resources about Dirichlet Processes.
Online Courses[]
Video Lectures[]
Lecture Notes[]
Books and Book Chapters[]
- Ghosh, J. K., & Ramamoorthi, R. V. (2003). Bayesian Nonparametrics.Springer Series in Statistics. Springer-Verlag, New York, 16, 37.
- Hjort, N. L., Holmes, C., Müller, P., & Walker, S. G. (Eds.). (2010). Bayesian Nonparametrics (Vol. 28). Cambridge University Press.
- Murphy, K. P. (2012). Machine Learning: A Probabilistic Perspective. Chapter 25: Clustering. MIT Press.
- Theodoridis, S. (2015). Machine Learning: A Bayesian and Optimization Perspective. Section 13.12: Nonparametric Bayesian Modeling. Academic Press.
Scholarly Articles[]
Software[]
Other Resources []
- Dirichlet Process: Practical course - MATLAB
- Dirichlet Process - Metacademy
- notes-on-dirichlet-processes - IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
- Clustering with Dirichlet process mixtures - MATLAB practical