The $m(n)$ out of $k(n)$ bootstrap for partial sums of St. Petersburg type games
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | The $m(n)$ out of $k(n)$ bootstrap for partial sums of St. Petersburg type games |
2. | Creator | Author's name, affiliation, country | Eustasio del Barrio; Universidad de Valladolid |
2. | Creator | Author's name, affiliation, country | Arnold Janssen; University of Düsseldorf |
2. | Creator | Author's name, affiliation, country | Markus Pauly; University of Düsseldorf |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Bootstrap, infinitely divisible distributions, L{\'e}vy process, $m(n)$ out of $k(n)$ resampling, stable and semi-stable laws, St. Petersburg game |
3. | Subject | Subject classification | 60E07, 62F40, 60F05. |
4. | Description | Abstract | This paper illustrates that the bootstrap of a partial sum given by i.i.d. copies of a random variable $X_1$ has to be dealt with care in general. It turns out that in various cases a whole spectrum of different limit laws of the $m(n)$ out of $k(n)$ bootstrap can be obtained for different choices of $m(n)/k(n) -> 0$ whenever $X_1$ does not lie in the domain of attraction of a stable law. As a concrete example we study bootstrap limit laws for the cumulated gain sequence of repeated St. Petersburg games. It is shown that here a continuum of different semi-stable bootstrap limit laws occurs. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2013-12-03 |
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/2772 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v18-2772 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 18 |
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
|