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