Correlation and correlation structure (8) – the precision matrix
Eran Raviv
If you are reading this, you already know that the covariance matrix represents unconditional linear dependency between the variables. Far less mentioned is the bewitching fact that the elements of the inverse of the covariance matrix (i.e. the precision matrix) encode the conditional linear dependence between the variables. This post shows why that is the...