A maximal inequality for supermartingales
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1. | Title | Title of document | A maximal inequality for supermartingales |
2. | Creator | Author's name, affiliation, country | Bruce Hajek; University of Illinois at Urbana-Champaign; United States |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | maximal inequality; semimartingale calculus; drift; martingale |
3. | Subject | Subject classification | 60G40;93E20;60G42;60G44 |
4. | Description | Abstract | A tight upper bound is given on the distribution of the maximum of a supermartingale. Specifically, it is shown that if $Y$ is a semimartingale with initial value zero and quadratic variation process $[Y,Y]$ such that $Y + [Y,Y]$ is a supermartingale, then the probability the maximum of $Y$ is greater than or equal to a positive constant $a$ is less than or equal to$1/(1+a).$ The proof makes use of the semimartingale calculus and is inspired by dynamic programming. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | National Science Foundation |
7. | Date | (YYYY-MM-DD) | 2014-08-14 |
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/3237 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v19-3237 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 19 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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