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一个贝叶斯的非静止的异构时间序列模型,用于多变量重症监护数据

Zayd Omar1, David A Stephens1, Alexandra M Schmidt2

  • 1Department of Mathematics and Statistics, McGill University, Montreal, Quebec, Canada.

Statistics in medicine
|July 3, 2024
PubMed
概括

我们介绍了一个新的贝叶斯模型,用于分析复杂的健康时间序列数据,变化方差. 这种方法有效地处理非静态和异态数据,优于标准模型.

关键词:
医疗中心数据 ICU 数据动态线性模型的动态线性模型.异性质的灰尘性 异性质的灰尘性多变量时间序列.非静止性的非静止性

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