Gaussian Graphical Models

Gaussian Graphical Models (GGMs) are statistical tools used to describe the relationships between multiple continuous variables. They represent these variables as nodes in a graph, with connecting lines indicating direct interactions or dependencies. In GGMs, the absence of a line between two nodes means that the variables are conditionally independent, given all others. This approach helps identify the underlying structure of complex systems, such as biological networks or financial markets, by focusing on the direct relationships and ignoring indirect influences. Overall, GGMs provide a clear visualization and understanding of how variables relate in multivariate data.