Large deviation exponential inequalities for supermartingales
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Large deviation exponential inequalities for supermartingales |
2. | Creator | Author's name, affiliation, country | Xiequan Fan; Université de Bretagne-Sud; France |
2. | Creator | Author's name, affiliation, country | Ion Grama; Université de Bretagne-Sud; France |
2. | Creator | Author's name, affiliation, country | Quansheng Liu; Université de Bretagne-Sud; France |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Large deviation; martingales; exponential inequality; Bernstein type inequality |
3. | Subject | Subject classification | 60F10; 60G42; 60E15 |
4. | Description | Abstract | Let $(X_{i}, \mathcal{F}_{i})_{i\geq 1}$ be a sequence of supermartingale differences and let $S_k=\sum_{i=1}^k X_i$. We give an exponential moment condition under which $\mathbb{P}( \max_{1\leq k \leq n} S_k \geq n)=O(\exp\{-C_1 n^{\alpha}\}),$ $n\rightarrow \infty, $ where $\alpha \in (0, 1)$ is given and $C_{1}>0$ is a constant. We also show that the power $\alpha$ is optimal under the given moment condition. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2012-12-12 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/2318 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v17-2318 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 17 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|