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Updated: Jun 17, 2025

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一个贝叶斯模型校准框架用于随机分区模型,具有时间变化和时间不变的参数

Brandon Robinson1, Philippe Bisaillon1, Jodi D Edwards2,3

  • 1Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.

Infectious Disease Modelling
|August 7, 2024
PubMed
概括

本研究引入了贝叶斯计算框架,用于估计像SIR模型这样的疾病传播模型中的时间变化和时间不变参数. 新方法通过有效处理参数变化来改善长期预测.

关键词:
贝叶斯的推理 贝叶斯的推理随机分区模型的模型.时间变化的参数估计估计.

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