A symmetrization inequality with a Gaussian-approximation remainder is established for dependent, high-dimensional random variables.
Statistical challenges with high dimensionality: Feature selection in knowledge discovery, in: Sanz-Sole, M., Soria, J., Varona, J.L., Verdera, J
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Symmetrization for high dimensional dependent random variables
A symmetrization inequality with a Gaussian-approximation remainder is established for dependent, high-dimensional random variables.