Lower bounds for the distribution function of a k-dimensionaln-extensible exchangeable process
A lower bound for the distribution function of a k-dimensional, n-extensible exchangeable process is provided when the marginals are uniform on the unit segment. The result is obtained by means of standard linear programming techniques. The lower bound for infinitely extendible exchangeable processes is the distribution of independent random variables.
| Year of publication: |
1985
|
|---|---|
| Authors: | Scarsini, Marco |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 3.1985, 2, p. 57-62
|
| Publisher: |
Elsevier |
| Subject: | exchangeable process extendibility |
Saved in:
Saved in favorites
Similar items by person
-
Stochastic dominance with pair wise risk aversion
Scarsini, Marco, (1985)
-
Dominance conditions for multivariate utility functions
Scarsini, Marco, (1988)
-
Multivariate stochastic dominance with fixed dependence structure
Scarsini, Marco, (1988)
- More ...