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April, 1993 Refinements in Asymptotic Expansions for Sums of Weakly Dependent Random Vectors
Soumendra Nath Lahiri
Ann. Probab. 21(2): 791-799 (April, 1993). DOI: 10.1214/aop/1176989267

Abstract

Let $S_n$ denote the $n$th normalized partial sum of a sequence of mean zero, weakly dependent random vectors. This paper gives asymptotic expansions for $Ef(S_n)$ under weaker moment conditions than those of Gotze and Hipp (1983). It is also shown that an expansion for $Ef(S_n)$ with an error term $o(n^{-(s - 2)/2})$ is valid without any Cramer-type condition, if $f$ has partial derivatives of order $(s - 1)$ only. This settles a conjecture of Gotze and Hipp in their 1983 paper.

Citation

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Soumendra Nath Lahiri. "Refinements in Asymptotic Expansions for Sums of Weakly Dependent Random Vectors." Ann. Probab. 21 (2) 791 - 799, April, 1993. https://doi.org/10.1214/aop/1176989267

Information

Published: April, 1993
First available in Project Euclid: 19 April 2007

zbMATH: 0776.60025
MathSciNet: MR1217565
Digital Object Identifier: 10.1214/aop/1176989267

Subjects:
Primary: 60F05
Secondary: 60G60

Keywords: $m$-dependence , Edgeworth expansion , Strong mixing

Rights: Copyright © 1993 Institute of Mathematical Statistics

Vol.21 • No. 2 • April, 1993
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