Indexing metadata

Random Time Changes for Sock-Sorting and Other Stochastic Process Limit Theorems


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Random Time Changes for Sock-Sorting and Other Stochastic Process Limit Theorems
 
2. Creator Author's name, affiliation, country David Steinsaltz; University of California, Berkeley
 
3. Subject Discipline(s) Mathematics
 
3. Subject Keyword(s) maximal inequalities, decoupling, poissonization, functional central limit theorem, sorting, random allocations, auxiliary randomization, time change
 
3. Subject Subject classification Primary: 60F17; Secondary: 60G70,60K30
 
4. Description Abstract A common technique in the theory of stochastic process is to replace a discrete time coordinate by a continuous randomized time, defined by an independent Poisson or other process. Once the analysis is complete on this poissonized process, translating the results back to the original setting may be nontrivial. It is shown here that, under fairly general conditions, if the process $S_n$ and the time change $\phi_n$ both converge, when normalized by the same constant, to limit processes combined process $S_n(\phi_n(t))$ converges, when properly normalized, to a sum of the limit of the orginal process, and the limit of the time change multiplied by the derivative of $E S_n$. It is also shown that earlier results on the fine structure of the maxima are preserved by these time changes.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 1999-05-20
 
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/51
 
10. Identifier Digital Object Identifier 10.1214/EJP.v4-51
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 4
 
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.