  The empirical covariance matrix is not necessarily the best estimator for the
population covariance matrix: we describe a simple method which gives better
estimates in two examples. The method models the covariance matrix using
truncated PCA with white noise residuals. Jack-knife cross-validation is used
to find the truncation that maximises the out-of-sample likelihood score.
