I recently read that one problem with gerber statistic is that we cannot guarantee the statistic matrix to be positive semi-definite. Why is that the case and how is it different from normal covariance matrix calculation?
2026-02-28 15:00:14.1772290814
Why can't we rule out negative variances when using gerber statistic for creating the covariance matrix?
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