Cramér theorem for Gamma random variables
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1. | Title | Title of document | Cramér theorem for Gamma random variables |
2. | Creator | Author's name, affiliation, country | Solesne Bourguin; Université Paris 1 |
2. | Creator | Author's name, affiliation, country | Ciprian A. Tudor; Université Lille 1 |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Cramér's theorem, Gamma distribution, multiple stochastic integrals, limit theorems, Malliavin calculus |
3. | Subject | Subject classification | 60F05; 60H05; 91G70 |
4. | Description | Abstract | In this paper we discuss the following problem: given a random variable $Z=X+Y$ with Gamma law such that $X$ and $Y$ are independent, we want to understand if then $X$ and $Y$ each follow a Gamma law. This is related to Cramer's theorem which states that if $X$ and $Y$ are independent then $Z=X+Y$ follows a Gaussian law if and only if $X$ and $Y$ follow a Gaussian law. We prove that Cramer's theorem is true in the Gamma context for random variables living in a Wiener chaos of fixed order but the result is not true in general. We also give an asymptotic variant of our result. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | ANR |
7. | Date | (YYYY-MM-DD) | 2011-07-07 |
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/1639 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v16-1639 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 16 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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