Wald for non-stopping times: the rewards of impatient prophets
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Wald for non-stopping times: the rewards of impatient prophets |
2. | Creator | Author's name, affiliation, country | Alexander E Holroyd; Microsoft Research; United States |
2. | Creator | Author's name, affiliation, country | Yuval Peres; Microsoft Research; United States |
2. | Creator | Author's name, affiliation, country | Jeffrey E Steif; Chalmers University of Technology and Göteborg University; Sweden |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Wald's identity; stopping time; moment condition; prophet inequality |
3. | Subject | Subject classification | 60G50 |
4. | Description | Abstract | Let $X_1,X_2,\ldots$ be independent identically distributed nonnegative random variables. Wald's identity states that the random sum $S_T:=X_1+\cdots+X_T$ has expectation $\mathbb{E} T \cdot \mathbb{E} X_1$ provided $T$ is a stopping time. We prove here that for any $1<\alpha\leq 2$, if $T$ is an arbitrary nonnegative random variable, then $S_T$ has finite expectation provided that $X_1$ has finite $\alpha$-moment and $T$ has finite $1/(\alpha-1)$-moment. We also prove a variant in which $T$ is assumed to have a finite exponential moment. These moment conditions are sharp in the sense that for any i.i.d. sequence $X_i$ violating them, there is a $T$ satisfying the given condition for which $S_T$ (and, in fact, $X_T$) has infinite expectation.An interpretation of this is given in terms of a prophet being more rewarded than a gambler when a certain impatience restriction is imposed. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2014-11-12 |
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/3609 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v19-3609 |
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
|