在贝叶斯模型选择中应用参考热力学集成
Iwona Hawryluk1, Swapnil Mishra2, Seth Flaxman3
1MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
PloS one
|August 14, 2023
概括
引用热力学集成 (TI) 有效地计算复杂模型的规范常数. 这种方法有助于贝叶斯模型选择,即使对于高维问题,如COVID-19传播分析.
科学领域:
- 统计学学习 统计学学习
- 贝叶斯的推理是贝叶斯的推理.
- 计算统计学 计算统计学
背景情况:
- 评估规范常数对于贝叶斯模型选择至关重要.
- 高维和分析难以处理的分布带来了重大的计算挑战.
- 经常需要像热力学集成 (TI) 这样的随机方法.
研究的目的:
- 引入和评估TI的变体,称为参考TI.
- 为了证明参考TI在计算规范化常数中的效率.
- 将参考TI应用于贝叶斯模型选择中的实际问题.
主要方法:
- 使用参考热力学集成 (TI) 方法.
- 使用参考密度来简化整合过程.
- 应用到一个半机械的等级贝叶斯模型,用于COVID-19的传播.
主要成果:
- 引用的TI有效地计算高维分布的规范化常数.
- 该方法在COVID-19建模的200D整合场景中被证明是有效的.
- 一维和二维的教学示例说明了这种方法的优势.
结论:
- 参考TI为计算规范常数提供了一个高效和实用的解决方案.
- 这种方法增强了贝叶斯模型选择能力,用于复杂的现实世界问题.
- 这种方法对于高维贝叶斯模型特别有价值.
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