Hypercontractivity and Comparison of Moments of Iterated Maxima and Minima of Independent Random Variables
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Hypercontractivity and Comparison of Moments of Iterated Maxima and Minima of Independent Random Variables |
2. | Creator | Author's name, affiliation, country | Pawel Hitczenko; North Carolina State University |
2. | Creator | Author's name, affiliation, country | Stanislaw Kwapien; Warsaw University |
2. | Creator | Author's name, affiliation, country | Wenbo V. Li; University of Delaware |
2. | Creator | Author's name, affiliation, country | Gideon Schechtman; The Weizmann Institute of Science |
2. | Creator | Author's name, affiliation, country | Thomas Schlumprecht; Texas A&M University |
2. | Creator | Author's name, affiliation, country | Joel Zinn; Texas A&M University |
3. | Subject | Discipline(s) | Mathematics |
3. | Subject | Keyword(s) | hypercontractivity, comparison of moments, iterated maxima and minima, Gaussian correlation inequalities, small ball probabilities. |
3. | Subject | Subject classification | Primary 60B11, 60E07, 60E15. Secondary 52A21, 60G15 |
4. | Description | Abstract | We provide necessary and sufficient conditions for hypercontractivity of the minima of nonnegative, i.i.d. random variables and of both the maxima of minima and the minima of maxima for such r.v.'s. It turns out that the idea of hypercontractivity for minima is closely related to small ball probabilities and Gaussian correlation inequalities. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 1998-01-07 |
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/24 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v3-24 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 3 |
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
|