Bayesian Covariate-Varying Interaction Analysis for Multivariate Count Data: Application to Microbiome Studies
多变量计数数据的贝叶斯协变量变化交互分析:微生物组应用
Understanding covariate-varying interdependencies among features is of great interest in various applications. Motivated by microbiome studies where microbial abundances and interactions vary with environmental factors, we develop a Bayesian covariate-varying factor model. This model flexibly estimates heteroscedasticity in the covariance matrix as a function of covariates. Specifically, our approach employs covariance regression through linear regression on a…