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Multivariate normal approximation with Stein's method of exchangeable pairs under a general linearity condition

Abstract:
In this paper we establish a multivariate exchangeable pairs approach within the framework of Stein's method to assess distributional distances to potentially singular multivariate normal distributions. By extending the statistics into a higher-dimensional space, we also propose an embedding method which allows for a normal approximation even when the corresponding statistics of interest do not lend themselves easily to Stein's exchangeable pairs approach. To illustrate the method, we provide the examples of runs on the line as well as double-indexed permutation statistics.
Publication status:
Published

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Publisher copy:
10.1214/09-AOP467

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author


Journal:
Annals of Probability More from this journal
Volume:
37
Issue:
6
Pages:
2150-2173
Publication date:
2007-11-07
DOI:
ISSN:
0091-1798


Language:
English
Keywords:
Pubs id:
pubs:97513
UUID:
uuid:ecb04d30-a8fe-47de-8d09-29bf8d3be498
Local pid:
pubs:97513
Source identifiers:
97513
Deposit date:
2012-12-19
ARK identifier:

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