Open Access
October, 1994 Limit Theorems for Nonlinear Functionals of a Stationary Gaussian Sequence of Vectors
Miguel A. Arcones
Ann. Probab. 22(4): 2242-2274 (October, 1994). DOI: 10.1214/aop/1176988503

Abstract

Limit theorems for functions of stationary mean-zero Gaussian sequences of vectors satisfying long range dependence conditions are considered. Depending on the rate of decay of the coefficients, the limit law can be either Gaussian or the law of a multiple Ito-Wiener integral. We prove the bootstrap of these limit theorems in the case when the limit is normal. A sufficient bracketing condition for these limit theorems to happen uniformly over a class of functions is presented.

Citation

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Miguel A. Arcones. "Limit Theorems for Nonlinear Functionals of a Stationary Gaussian Sequence of Vectors." Ann. Probab. 22 (4) 2242 - 2274, October, 1994. https://doi.org/10.1214/aop/1176988503

Information

Published: October, 1994
First available in Project Euclid: 19 April 2007

zbMATH: 0839.60024
MathSciNet: MR1331224
Digital Object Identifier: 10.1214/aop/1176988503

Subjects:
Primary: 60F05
Secondary: 60F17 , 60G10

Keywords: bootstrap , Empirical processes , Long range dependence , moving blocks bootstrap , multiple Ito-Wiener integrals , stationary Gaussian sequence

Rights: Copyright © 1994 Institute of Mathematical Statistics

Vol.22 • No. 4 • October, 1994
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