BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures

BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures

BNPmix is an R package for Bayesian nonparametric multivariate density estimation, clustering, and regression, using Pitman-Yor mixture models, a flexible and robust generalization of the popular class of Dirichlet process mixture models. A variety of model specifications and state-of-the-art poster...

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Bibliographic Details
Main Authors: Riccardo Corradin, Antonio Canale, Bernardo Nipoti
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2021-11-01
Series:Journal of Statistical Software
Subjects:
bayesian nonparametric mixture
c
density estimation
clustering
importance conditional sampler
slice sampler
marginal sampler
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3867

Internet

https://www.jstatsoft.org/index.php/jss/article/view/3867

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