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Sensitivity Analyses for Sparse-Data Problems—Using Weakly Informative Bayesian Priors
Sparse-data problems are common, and approaches are needed to evaluate the sensitivity of parameter estimates based on sparse data. We propose a Bayesian approach that uses weakly informative priors to quantify sensitivity of parameters to sparse data. The weakly informative prior is based on accumu...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3607322/ https://ncbi.nlm.nih.gov/pubmed/23337241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0b013e318280db1d |
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