Graphical models provide a robust framework for representing the conditional independence structure between variables through networks, enabling nuanced insight into complex high-dimensional data.

Jianqing Fan, Han Liu, Weichen Wang, LARGE COVARIANCE ESTIMATION THROUGH ELLIPTICAL FACTOR MODELS, The Annals of Statistics, Vol. 46, No. 4 (August 2018), pp. 1383-1414. Free online reading for over ...

The graph below shows the total number of publications each year in Graphical Models and Covariance Matrix Estimation. References [1] cglasso: An R Package for Conditional Graphical Lasso ...