A nonuniform bound to an independent test in high dimensional data analysis via Stein's method
Summary: The Berry-Esseen bound for the random variable based on the sum of squared sample correlation coefficients and used to test the complete independence in high diemensions is shown by Stein's method. Although the Berry-Esseen bound can be applied to all real numbers in \(\mathbb{R}\), a nonuniform bound at a real number \(z\) usually provides a sharper bound if \(z\) is fixed. In this paper, we present the first version of a nonuniform bound on a normal approximation for this random variable with an optimal rate of \(\left(1 / \left(0.5 + | z |\right)\right) \cdot O \left(1 / \sqrt{m}\right)\) by using Stein's method.
scientific article; zbMATH DE number 7039897
scientific article