A Gaussian Correlation Inequality and its Applications to Small Ball Probabilities
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | A Gaussian Correlation Inequality and its Applications to Small Ball Probabilities |
2. | Creator | Author's name, affiliation, country | Wenbo V. Li; University of Delaware |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Small ball probabilities, Gaussian correlation inequality |
3. | Subject | Subject classification | Primary: 60G15; Secondary: 60E15, 60J65. |
4. | Description | Abstract | We present a Gaussian correlation inequality which is closely related to a result of Schechtman, Schlumprecht and Zinn (1998) on the well-known Gaussian correlation conjecture. The usefulness of the inequality is demonstrated by several important applications to the estimates of small ball probability. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 1999-09-29 |
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/1012 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v4-1012 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 4 |
12. | Language | English=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
|