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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2014
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| Materias: | |
| 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 |