Conditional Moment Representations for Dependent Random Variables
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1. | Title | Title of document | Conditional Moment Representations for Dependent Random Variables |
2. | Creator | Author's name, affiliation, country | Wlodzimierz Bryc; University of Cincinnati |
3. | Subject | Discipline(s) | Mathematics |
3. | Subject | Keyword(s) | alternating conditional expectation, inverse problems, ACE. |
3. | Subject | Subject classification | 62J12, 60E05, 62J02 |
4. | Description | Abstract | The question considered in this paper is which sequences of $p$-integrable random variables can be represented as conditional expectations of a fixed random variable with respect to a given sequence of sigma-fields. For finite families of sigma-fields, explicit inequality equivalent to solvability is stated; sufficient conditions are given for finite and infinite families of sigma-fields, and explicit expansions are presented. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 1996-04-13 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/7 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v1-7 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 1 |
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
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