We consider the situation of jointly Gaussian variables and show that the distribution when condition on one set is also Gaussian. We demonstrate how the mean and covariance of the conditioned distribution can be easily read off by completing the square. We derive expressions for the mean and covariance of the conditional distributions, both in terms of the covariance and in terms of the precision of the joint distribution, meeting the Schur complement along the way.
