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Bayesian constraint relaxation
Prior information often takes the form of parameter constraints. Bayesian methods include such information through prior distributions having constrained support. By using posterior sampling algorithms, one can quantify uncertainty without relying on asymptotic approximations. However, sharply const...
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| Publicado no: | Biometrika |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7017863/ https://ncbi.nlm.nih.gov/pubmed/32089562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asz069 |
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