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January, 1988 A Central Limit Theorem for Stationary $\rho$-Mixing Sequences with Infinite Variance
Richard C. Bradley
Ann. Probab. 16(1): 313-332 (January, 1988). DOI: 10.1214/aop/1176991904

Abstract

A central limit theorem is proved for some strictly stationary $\rho$-mixing sequences with infinite second moments. The condition on the tails of the marginal distribution is the same as in the corresponding classic result for i.i.d. sequences. The mixing rate is essentially the slowest possible for this result.

Citation

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Richard C. Bradley. "A Central Limit Theorem for Stationary $\rho$-Mixing Sequences with Infinite Variance." Ann. Probab. 16 (1) 313 - 332, January, 1988. https://doi.org/10.1214/aop/1176991904

Information

Published: January, 1988
First available in Project Euclid: 19 April 2007

zbMATH: 0643.60018
MathSciNet: MR920274
Digital Object Identifier: 10.1214/aop/1176991904

Subjects:
Primary: 60F05
Secondary: 60G10

Keywords: $\rho$-mixing , central limit theorem , infinite variance , Strictly stationary

Rights: Copyright © 1988 Institute of Mathematical Statistics

Vol.16 • No. 1 • January, 1988
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