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Marginally specified priors for non-parametric Bayesian estimation
Prior specification for non-parametric Bayesian inference involves the difficult task of quantifying prior knowledge about a parameter of high, often infinite, dimension. A statistician is unlikely to have informed opinions about all aspects of such a parameter but will have real information about f...
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| Published in: | J R Stat Soc Series B Stat Methodol |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4314965/ https://ncbi.nlm.nih.gov/pubmed/25663813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12059 |
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