Abstract
The partial correlation coefficient is a commonly used measure to assess the conditional dependence between two random variables. We provide a thorough explanation of the partial copula, which is a natural generalization of the partial correlation coefficient, and investigate several of its properties. In addition, properties of some associated partial dependence measures are examined. (C) 2016 Elsevier B.V. All rights reserved.
Item Type: | Journal article |
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Faculties: | Mathematics, Computer Science and Statistics > Statistics |
Subjects: | 500 Science > 510 Mathematics |
ISSN: | 0167-7152 |
Language: | English |
Item ID: | 47364 |
Date Deposited: | 27. Apr 2018, 08:12 |
Last Modified: | 04. Nov 2020, 13:24 |