$L^1$-Norm of Infinitely Divisible Random Vectors and Certain Stochastic Integrals
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | $L^1$-Norm of Infinitely Divisible Random Vectors and Certain Stochastic Integrals |
2. | Creator | Author's name, affiliation, country | Michael B. Marcus; The City College of CUNY |
2. | Creator | Author's name, affiliation, country | Jan Rosinski; University of Tennessee |
3. | Subject | Discipline(s) | Mathematics |
3. | Subject | Keyword(s) | Infinitely divisible random variables, stochastic integrals |
3. | Subject | Subject classification | 60E07, 60E15, 60H05 |
4. | Description | Abstract | Equivalent upper and lower bounds for the $L^1$ norm of Hilbert space valued infinitely divisible random variables are obtained and used to find bounds for different types of stochastic integrals. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2001-01-10 |
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/1031 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v6-1031 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 6 |
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
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