Self-normalized Large Deviations for Markov Chains
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1. | Title | Title of document | Self-normalized Large Deviations for Markov Chains |
2. | Creator | Author's name, affiliation, country | Mathieu Faure; Universit'e de Marne La Vall'ee |
3. | Subject | Discipline(s) | Mathematics |
3. | Subject | Keyword(s) | Large deviations, Markov chains, partial large deviation principles, self-normalization. |
3. | Subject | Subject classification | 60F10, 60J10 |
4. | Description | 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. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2002-11-13 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/122 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v7-122 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 7 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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