Large-dimensional central limit theorem with fourth-moment error bounds on convex sets and balls
Author:
Affiliation:
1. Department of Statistics, Chinese University of Hong Kong
2. Graduate School of Mathematical Sciences, University of Tokyo
Publisher
Institute of Mathematical Statistics
Reference44 articles.
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2. BONIS, T. (2020). Stein’s method for normal approximation in Wasserstein distances with application to the multivariate central limit theorem. Probab. Theory Related Fields 178 827–860.
3. FANG, X. and KOIKE, Y. (2021). High-dimensional central limit theorems by Stein’s method. Ann. Appl. Probab. 31 1660–1686.
4. BALL, K. (1993). The reverse isoperimetric problem for Gaussian measure. Discrete Comput. Geom. 10 411–420.
5. ZHILOVA, M. (2020). Nonclassical Berry–Esseen inequalities and accuracy of the bootstrap. Ann. Statist. 48 1922–1939.
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