Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
In a traditional Gaussian graphical model, data homogeneity is routinely assumed with no extra variables affecting the conditional independence. In modern genomic datasets, there is an abundance of auxiliary information, which often gets under-utilized in determining the joint dependency structure. In this article, we consider a Bayesian approach to model …