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What Intraclass Covariance Structures Can Symmetric Bernoulli Random Variables Have?

Statistics Theory 2022-10-05 v1 Probability Statistics Theory

Abstract

The covariance matrix of random variables X1,,XnX_1,\dots,X_n is said to have an intraclass covariance structure if the variances of all the XiX_i's are the same and all the pairwise covariances of the XiX_i's are the same. We provide a possibly surprising characterization of such covariance matrices in the case when the XiX_i's are symmetric Bernoulli random variables.

Keywords

Cite

@article{arxiv.2210.01653,
  title  = {What Intraclass Covariance Structures Can Symmetric Bernoulli Random Variables Have?},
  author = {Iosif Pinelis},
  journal= {arXiv preprint arXiv:2210.01653},
  year   = {2022}
}

Comments

7 pages; to appear in Mathematical Methods of Statistics

R2 v1 2026-06-28T02:46:49.812Z