MULTIVARIATE APPROXIMATION IN TOTAL VARIATION, II: DISCRETE NORMAL APPROXIMATION
成果类型:
Article
署名作者:
Barbour, A. D.; Luczak, M. J.; Xia, A.
署名单位:
University of Zurich; University of London; Queen Mary University London; University of Melbourne
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/17-AOP1205
发表日期:
2018
页码:
1405-1440
关键词:
steins method
CONVERGENCE
dependence
statistics
clt
摘要:
The paper applies the theory developed in Part I to the discrete normal approximation in total variation of random vectors in Z(d). We illustrate the use of the method for sums of independent integer valued random vectors, and for random vectors exhibiting an exchangeable pair. We conclude with an application to random colourings of regular graphs.