Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations

We consider the question of Markov chain Monte Carlo sampling from a general stick-breaking Dirichlet process mixture model, with concentration parameter [Formula: see text] . This paper introduces a Gibbs sampling algorithm that combines the slice sampling approach of Walker (Communications in Stat...

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Detalles Bibliográficos
Autores principales: Hastie, David I., Liverani, Silvia, Richardson, Sylvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550296/
https://www.ncbi.nlm.nih.gov/pubmed/26321800
http://dx.doi.org/10.1007/s11222-014-9471-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550296/
https://www.ncbi.nlm.nih.gov/pubmed/26321800
http://dx.doi.org/10.1007/s11222-014-9471-3

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