Uncorrelatedness Sets of Bounded Random Variables
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Date
2004
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Academic Press inc Elsevier Science
Open Access Color
HYBRID
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
An uncorrelatedness set of two random variables shows which powers of random variables are uncorrelated. These sets provide a measure of independence: the wider an uncorrelatedness set is, the more independent random variables are. Conditions for a subset of N-2 to be an uncorrelatedness set of bounded random variables are studied. Applications to the theory of copulas are given. (C) 2004 Elsevier Inc. All rights reserved.
Description
Keywords
uncorrelatedness set, measure of independence, copula, completeness, Completeness, Measures of association (correlation, canonical correlation, etc.), Copula, Applied Mathematics, Measure of independence, Characterization and structure theory for multivariate probability distributions; copulas, Analysis, Uncorrelatedness set
Fields of Science
0101 mathematics, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
Q2

OpenCitations Citation Count
1
Source
Journal of Mathematical Analysis and Applications
Volume
297
Issue
1
Start Page
257
End Page
266
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Citations
Scopus : 1
SCOPUS™ Citations
1
checked on Apr 29, 2026
Web of Science™ Citations
1
checked on Apr 29, 2026
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