Distance between nonidentically weakly dependent random vectors and Gaussian random vectors under the bounded Lipschitz metric

被引:0
|
作者
Sancetta, A [1 ]
机构
[1] Univ Cambridge, Fac Econ, Cambridge CB3 9DE, England
基金
英国经济与社会研究理事会;
关键词
bounded Lipschitz metric; central limit theorem; copula; mixing;
D O I
10.1016/j.spl.2005.05.008
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper provides bounds for the rate of weak convergence of a multivariate weakly dependent nonidentically distributed partial SLIM to the Gaussian law. Using the approach of Bentkus [2003, On normal approximations, approximations of semigroups of operators, and approximations by accompanying laws. Available at the following URL: http://www.mathematik.uni-bielefeld.de/fgweb/Preprints/fg03035.pdf], we give an equivalent bound in terms of dimension, as in the case of iid random variables. The bound is stated in terms of minimal high-level assumptions. (c) 2005 Elsevier B.V. All rights reserved.
引用
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页码:158 / 168
页数:11
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