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Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth–death models [version 2; peer review: 2 approved]

Earlier research has suggested that approximate Bayesian computation (ABC) makes it possible to fit simulator-based intractable birth–death models to investigate communicable disease outbreak dynamics with accuracy comparable to that of exact Bayesian methods. However, recent findings have indicated...

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書誌詳細
主要な著者: Jarno Lintusaari, Paul Blomstedt, Brittany Rose, Tuomas Sivula, Michael U. Gutmann, Samuel Kaski, Jukka Corander
フォーマット: Artigo
言語:Inglês
出版事項: Wellcome 2019-08-01
シリーズ:Wellcome Open Research
オンライン・アクセス:https://wellcomeopenresearch.org/articles/4-14/v2
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