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Hierarchical Approximate Bayesian Computation
Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that a...
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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: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4140414/ https://ncbi.nlm.nih.gov/pubmed/24297436 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11336-013-9381-x |
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