An invariance principle for weakly associated random vectors
The positive dependence notion of association for collections of random variables is generalized to that of weak association for collections of vector valued random elements in such a way as to allow negative dependencies in individual random elements. An invariance principle is stated and proven for a stationary, weakly associated sequence of d-valued or separable Hilbert space valued random elements which satisfy a covariance summability condition.
Year of publication: |
1986
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Authors: | Burton, Robert M. ; Dabrowski, AndréRobert ; Dehling, Herold |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 23.1986, 2, p. 301-306
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Publisher: |
Elsevier |
Subject: | invariance principle association |
Saved in:
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