Copulae of probability measures on product spaces
It has been proved (Sklar, 1959, Publ. Inst. Statist. Univ. Paris 8 229-231) that any multivariate distribution function depends on its arguments only through its marginal distributions. An analogous result will be proved in the general framework of probability measures on (Polish) product spaces. Many properties, holding for distribution functions, still hold in the more general situation. Some results related to convergence in probability will be examined.
Year of publication: |
1989
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Authors: | Scarsini, Marco |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 31.1989, 2, p. 201-219
|
Publisher: |
Elsevier |
Keywords: | copula probability measures on product spaces simulation of multivariate distributions multivariate random processes convergence in probability |
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