Standard representation of multivariate functions on a general probability space
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1. | Title | Title of document | Standard representation of multivariate functions on a general probability space |
2. | Creator | Author's name, affiliation, country | Svante Janson; Uppsala University |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Borel space; random graphs |
3. | Subject | Subject classification | 60A10 |
4. | Description | Abstract | It is well-known that a random variable, i.e. a function defined on a probability space, with values in a Borel space, can be represented on the special probability space consisting of the unit interval with Lebesgue measure. We show an extension of this to multivariate functions. This is motivated by some recent constructions of random graphs. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2009-08-26 |
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/1477 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v14-1477 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 14 |
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
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