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2002 Self-normalized Large Deviations for Markov Chains
Mathieu Faure
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Electron. J. Probab. 7: 1-31 (2002). DOI: 10.1214/EJP.v7-122

Abstract

We prove a self-normalized large deviation principle for sums of Banach space valued functions of a Markov chain. Self-normalization applies to situations for which a full large deviation principle is not available. We follow the lead of Dembo and Shao [DemSha98b] who state partial large deviations principles for independent and identically distributed random sequences.

Citation

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Mathieu Faure. "Self-normalized Large Deviations for Markov Chains." Electron. J. Probab. 7 1 - 31, 2002. https://doi.org/10.1214/EJP.v7-122

Information

Accepted: 13 November 2002; Published: 2002
First available in Project Euclid: 16 May 2016

zbMATH: 1007.60008
MathSciNet: MR1943896
Digital Object Identifier: 10.1214/EJP.v7-122

Subjects:
Primary: 60F10
Secondary: 60J10

Keywords: large deviations , Markov chains , partial large deviation principles , self-normalization

Vol.7 • 2002
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