Gibbs Sampling Methods for Stick-Breaking Priors
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Summary
Two general types of Gibbs samplers that can be used to fit posteriors of Bayesian hierarchical models based on stick-breaking priors are presented and the blocked Gibbs sampler, based on an entirely different approach that works by directly sampling values from the posterior of the random measure.
- Type
- article
- Published
- 2001-03-01
- Cited by
- 1,822
- References
- 52
- OpenAlex
- https://openalex.org/W2072169887
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12391796
Keywords
Gibbs sampling, Prior probability, Dirichlet process, Dirichlet distribution, Mathematics
References
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