Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/igutierrezm/dpmneal3.jl

A Julia interface for Dirichlet process mixture (DPM) models using Neal's algorithm 3.
https://github.com/igutierrezm/dpmneal3.jl

bayesian-nonparametrics dirichlet-process-mixtures mcmc

Last synced: 10 days ago
JSON representation

A Julia interface for Dirichlet process mixture (DPM) models using Neal's algorithm 3.

Host: GitHub
URL: https://github.com/igutierrezm/dpmneal3.jl
Owner: igutierrezm
License: mit
Created: 2021-06-01T00:13:19.000Z (over 3 years ago)
Default Branch: master
Last Pushed: 2022-07-28T13:55:11.000Z (over 2 years ago)
Last Synced: 2024-10-11T07:09:33.478Z (about 1 month ago)
Topics: bayesian-nonparametrics, dirichlet-process-mixtures, mcmc
Language: Julia
Homepage:
Size: 256 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # DPMNeal3.jl

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://igutierrezm.github.io/DPMNeal3.jl/stable)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://igutierrezm.github.io/DPMNeal3.jl/dev)

[![Build Status](https://github.com/igutierrezm/DPMNeal3.jl/workflows/CI/badge.svg)](https://github.com/igutierrezm/DPMNeal3.jl/actions)

[![Coverage](https://codecov.io/gh/igutierrezm/DPMNeal3.jl/branch/master/graph/badge.svg?token=8LyURKsV9M)](https://codecov.io/gh/igutierrezm/DPMNeal3.jl)

DPMNeal3.jl provides an interface for Dirichlet process mixture (DPM) models in Julia using Neal's algorithm 3 [1]. Particularly, this package provides:

- A method for performing one iteration of Neal's algorithm 3.

- Several methods for accessing the current state of the chain (e.g. the vector of cluster labels).

## References

[1] Neal, R. (2000). Markov chain sampling methods for Dirichlet process mixture models. *Journal of Computational and Graphical Statistics*, 9(2). [https://doi.org/10.1080/10618600.2000.10474879](https://doi.org/10.1080/10618600.2000.10474879)