Block-diagonal covariance selection for high-dimensional Gaussian graphical models

Emilie Devijver, Mélina Gallopin

Gaussian graphical models are widely utilized to infer and visualize networks of dependencies between continuous variables. However, inferring the graph is difficult when the sampl…