Probability Surveys
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Recent advances in invariance principles for stationary sequences

Florence Merlevède, Magda Peligrad, and Sergey Utev

Source: Probab. Surveys Volume 3 (2006), 1-36.

Abstract

In this paper we survey some recent results on the central limit theorem and its weak invariance principle for stationary sequences. We also describe several maximal inequalities that are the main tool for obtaining the invariance principles, and also they have interest in themselves. The classes of dependent random variables considered will be martingale-like sequences, mixing sequences, linear processes, additive functionals of ergodic Markov chains.

Primary Subjects: 60G51, 60F05
Keywords: Brownian motion; weakly dependent sequences; martingale differences; linear process; central limit theorem; invariance principle

Full-text: Open access

Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.ps/1137162933
Digital Object Identifier: doi:10.1214/154957806100000202

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