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Updated: Jul 1, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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在结构化高维数据的图形导向贝叶斯模型中计算网络噪声

Wenrui Li1, Changgee Chang2, Suprateek Kundu3

  • 1Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, PA 19104, United States.

Biometrics
|March 14, 2024
PubMed
概括

这项研究引入了一个新的贝叶斯框架,通过计算杂的生物网络来改进使用高维数据的统计学习. 该方法提高了基因组学和蛋白质组学分析中的变量选择和预测准确性.

关键词:
在MCMC算法中,MCMC算法适应性贝叶斯收缩 贝叶斯收缩隐性规模网络模型模型有噪音的图表结构化的高维预测.

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