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The covariance matrix of random variables is said to have an intraclass covariance structure if the variances of all the ’s are the same and all the pairwise covariances of the ’s are the same. We provide a possibly surprising characterization of such covariance matrices in the case when the ’s are symmetric Bernoulli random variables.

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