Meanings of inverse covariance in English

Gaussian graphical models explore dependence relationships between random variables, through the estimation of the corresponding inverse covariance matrices.

This is achieved through a hierarchical penalty that targets the removal of common zeros in the inverse covariance matrices across categories.