Indexing metadata

Protected nodes and fringe subtrees in some random trees


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Protected nodes and fringe subtrees in some random trees
 
2. Creator Author's name, affiliation, country Luc Devroye; McGill University; Canada
 
2. Creator Author's name, affiliation, country Svante Janson; Uppsala University; Sweden
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) simply generated trees; conditioned Galton-Watson trees; binary search trees; random recursive trees; protected nodes; fringe trees
 
3. Subject Subject classification 60C05; 05C05
 
4. Description Abstract We study protected nodes in various classes of random rooted trees by putting them in the general context of fringe subtrees introduced by Aldous (1991). Several types of random trees are considered: simply generated trees (or conditioned Galton-Watson trees), which includes several cases treated separately by other authors, binary search trees and random recursive trees. This gives unified and simple proofs of several earlier results, as well as new results.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) the Knut and Alice Wallenberg Foundation
 
7. Date (YYYY-MM-DD) 2014-02-05
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ecp.ejpecp.org/article/view/3048
 
10. Identifier Digital Object Identifier 10.1214/ECP.v19-3048
 
11. Source Journal/conference title; vol., no. (year) Electronic Communications in Probability; Vol 19
 
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
  • to copy, distribute, display, and perform the work
  • to make derivative works
  • to make commercial use of the work
under the following condition of Attribution: others must attribute the work if displayed on the web or stored in any electronic archive by making a link back to the website of EJP via its Digital Object Identifier (DOI), or if published in other media by acknowledging prior publication in this Journal with a precise citation including the DOI. For any further reuse or distribution, the same terms apply. Any of these conditions can be waived by permission of the Corresponding Author.