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Updated: Jan 7, 2026

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关于高维共变量依赖高斯图形回归的统计推断

Xuran Meng1, Jingfei Zhang2, Yi Li3

  • 1Department of Biostatistics, University of Michigan, Ann Arbor MI 48109, United States.

Biometrics
|December 22, 2025
PubMed
概括

这项研究引入了一种新的统计方法,用于分析基因协同表达网络,以单个遗传变异 (单核酸多态). 这种方法可以更准确地推断由这些共同变量影响的基因关系.

关键词:
高斯的图形模型是高斯的.愚蠢的推论得出结论使用共变量的图形模型.多任务学习是多任务学习.投影是指一个投影的投影.

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