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Updated: May 10, 2025

Author Spotlight: Addressing Regulatory Gaps in Molecular Studies by Quantifying Viral Vectors in Complex Matrices
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用近似贝叶斯计算计算计算流行病推断中的联系网络不确定性

Maxwell H Wang1, Jukka-Pekka Onnela1

  • 1Department of Biostatistics, Harvard University, 677 Huntington Ave, Boston, MA 02115 USA.

Applied network science
|April 25, 2025
PubMed
概括

这项研究引入了一种新的贝叶斯推理方法,可以准确地模拟传染病的传播,即使接触网络和事件时间的数据不完美. 该方法增强了对现实世界场景中的传染动态的理解.

关键词:
大致贝叶斯计算方法网络 网络 网络 网络这是一个SIR模型.

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