 Gaussian conditional independence

For a jointly Gaussian vector, conditional independence is equivalent to vanishing conditional cross-covariance. When the full covariance matrix is positive definite, two coordinates are conditionally independent given all the others exactly when their off-diagonal entry in the precision matrix is zero.