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Nonparametric Bayesian models through probit stick-breaking processes
We describe a novel class of Bayesian nonparametric priors based on stick-breaking constructions where the weights of the process are constructed as probit transformations of normal random variables. We show that these priors are extremely flexible, allowing us to generate a great variety of models...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2011
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3865248/ https://ncbi.nlm.nih.gov/pubmed/24358072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/11-BA605 |
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