The essential equivalence of pairwise and mutual conditional independence
成果类型:
Article
署名作者:
Hammond, PJ; Sun, YN
署名单位:
Stanford University; National University of Singapore; National University of Singapore
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-005-0468-x
发表日期:
2006
页码:
415-427
关键词:
measure-spaces
exchangeability
nonstandard
摘要:
For a large collection of random variables, pairwise conditional independence and mutual conditional independence are shown to be essentially equivalent - i.e., equivalent to up to null sets. Unlike in the finite setting, a large collection of random variables remains essentially conditionally independent under further conditioning. The essential equivalence of pairwise and multiple versions of exchangeability also follows as a corollary. Our result relies on an iterated extension of Bledsoe and Morse's completion of the product of two measure spaces.
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