On Edgeworth expansions for dependency-neighborhoods chain structures and Stein's method
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- 作者：Yosef Rinott and Vladimir Rotar
- 关键词：Edgeworth expansion ; Local dependency ; Stein's method ; Non ; complete U ; statistics
- 刊名：Probability Theory and Related Fields
- 出版时间：August 2003
- 出版年：2003
- 期刊代码：126_0178-8051
- 类别：mat
- 卷：126
- 期：4
- 页码：528-570
- 数据来源：sp
摘要
Let W be the sum of dependent random variables, and h(x) be a function. This paper provides an Edgeworth expansion of an arbitrary ``length'' for%E{h(W)} in terms of certain characteristics of dependency, and of the smoothness of h and/or the distribution of W. The core of the class of dependency structures for which these characteristics are meaningful is the local dependency, but in fact, the class is essentially wider. The remainder is estimated in terms of Lyapunov's ratios. The proof is based on a Stein's method.