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Choice of Summary Statistic Weights in Approximate Bayesian Computation
In this paper, we develop a Genetic Algorithm that can address the fundamental problem of how one should weight the summary statistics included in an approximate Bayesian computation analysis built around an accept/reject algorithm, and how one might choose the tolerance for that analysis. We then d...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Berkeley Electronic Press
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3192002/ https://ncbi.nlm.nih.gov/pubmed/23089822 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2202/1544-6115.1586 |
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