Indexing metadata

Convergence of values in optimal stopping and convergence of optimal stopping times


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Convergence of values in optimal stopping and convergence of optimal stopping times
 
2. Creator Author's name, affiliation, country François Coquet; CREST-ENSAI and LMAH Université du Havre
 
2. Creator Author's name, affiliation, country Sandrine Toldo; IRMAR, Antenne de Bretagne de l'ENS Cachan
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Values in optimal stopping ; Convergence of stochastic processes ; Convergence of filtrations ; Optimal stopping times ; Convergence of stopping times.
 
3. Subject Subject classification 60G40 ; 62L15 ; 60Fxx ; 62Lxx
 
4. Description Abstract Under the hypothesis of convergence in probability of a sequence of càdlàg processes $(X^n)$ to a càdlàg process $X$, we are interested in the convergence of corresponding values in optimal stopping and also in the convergence of optimal stopping times. We give results under hypothesis of inclusion of filtrations or convergence of filtrations.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2007-02-27
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/288
 
10. Identifier Digital Object Identifier 10.1214/EJP.v12-288
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 12
 
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
  • 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.