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Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood
Fully Bayesian inference in the presence of unequal probability sampling requires stronger structural assumptions on the data-generating distribution than frequentist semiparametric methods, but offers the potential for improved small-sample inference and convenient evidence synthesis. We demonstrat...
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| 出版年: | Biometrika |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7612173/ https://ncbi.nlm.nih.gov/pubmed/34992304 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asaa028 |
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