Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics
多个相依高斯图模型的联合估计及小鼠基因组应用
Gaussian graphical models are widely used to represent conditional dependence among random variables. In this paper, we propose a novel estimator for data arising from a group of Gaussian graphical models that are themselves dependent. A motivating example is that of modeling gene expression collected on multiple tissues from the same individual: here the multivariate outcome is affected by dependencies acting not only at the level of the specific tissues, but also at the…