A test for block circular symmetric covariance structure with divergent dimension
ESAIM: Probability and Statistics, Tome 23 (2019), pp. 672-696.

The paper considers the likelihood ratio (LR) test on the block circular symmetric covariance structure of a multivariate Gaussian population with divergent dimension. When the sample size n, the dimension of each block p and the number of blocks u satisfy pu < n − 1 and p = p(n) → ∞ as n → ∞, the asymptotic distribution and the moderate deviation principle of the logarithmic LR test statistic under the null hypothesis are established. Some numerical simulations indicate that the proposed LR test method performs well in the divergent-dimensional block circular symmetric covariance structure test.

Reçu le :
Accepté le :
DOI : 10.1051/ps/2019020
Classification : 62H15, 62E20
Mots-clés : Likelihood ratio test, block circular symmetric model, asymptotic normality, moderate deviation principle
Xie, Junshan 1 ; Sun, Gaoming 1

1
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Xie, Junshan; Sun, Gaoming. A test for block circular symmetric covariance structure with divergent dimension. ESAIM: Probability and Statistics, Tome 23 (2019), pp. 672-696. doi : 10.1051/ps/2019020. http://www.numdam.org/articles/10.1051/ps/2019020/

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