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