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Department of Statistics, UCLA

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Multinormal Maximum Likelihood with a Covariance Bound


In some consulting work the problem came up to find the maximum likelihood estimate of the covariance matrix of a multivariate normal distribution in n dimensions, under the constraint that the estimate is bounded below by a known matrix.

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