Sparse covariance selection via robust maximum likelihood estimation

• We estimate a sample covariance matrix Σ from empirical data. • Objective: infer dependence relationships between variables. • We also want this information to be as sparse as possible. • Basic solution: look at the magnitude of the covariance coefficients