Large deviations in randomly coloured random graphs
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Large deviations in randomly coloured random graphs |
2. | Creator | Author's name, affiliation, country | J. D. Biggins; The University of Sheffield, UK |
2. | Creator | Author's name, affiliation, country | D.B. Penman; University of Essex, UK |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | large deviations, mixture, rate function, random graphs |
3. | Subject | Subject classification | 05C80; 60F10 |
4. | Description | Abstract | Models of random graphs are considered where the presence or absence of an edge depends on the random types (colours) of its vertices, so that whether or not edges are present can be dependent. The principal objective is to study large deviations in the number of edges. These graphs provide a natural example with two different non-degenerate large deviation regimes, one arising from large deviations in the colourings followed by typical edge placement and the other from large deviation in edge placement. A secondary objective is to illustrate the use of a general result on large deviations for mixtures. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2009-07-10 |
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/1478 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v14-1478 |
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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