Study of partial and average conditional Kendall’s tau
When the interest is in studying conditional dependencies, and more precisely the strength of conditional dependencies, some kind of averaging over the conditioning random vector may be needed. Examples of average measures that can serve in this context are the average conditional Kendall’s tau and...
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De Gruyter
2021
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oai:doaj.org-article:d2e7572502b345e695db5d26b87a8aa02021-12-05T14:10:46ZStudy of partial and average conditional Kendall’s tau2300-229810.1515/demo-2021-0104https://doaj.org/article/d2e7572502b345e695db5d26b87a8aa02021-07-01T00:00:00Zhttps://doi.org/10.1515/demo-2021-0104https://doaj.org/toc/2300-2298When the interest is in studying conditional dependencies, and more precisely the strength of conditional dependencies, some kind of averaging over the conditioning random vector may be needed. Examples of average measures that can serve in this context are the average conditional Kendall’s tau and partial Kendall’s tau. It is known that these measures differ in general. Some statistical tests are based on these average measures, and a better knowledge of them is of importance. The aim of this paper is to provide a quantitative study of the possible differences of these two average measures, and to establish su˚cient conditions under which they coincide. Both measures are studied in two fairly general settings. In each setting theoretical results are established as well as several illustrative examples given.Gijbels IrèneMatterne MargotDe Gruyterarticleaverage conditional copulaassociation measuresconditional copulakendall’s taupartial copulaprimary 60exxsecondary 62hxxScience (General)Q1-390MathematicsQA1-939ENDependence Modeling, Vol 9, Iss 1, Pp 82-120 (2021) |
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average conditional copula association measures conditional copula kendall’s tau partial copula primary 60exx secondary 62hxx Science (General) Q1-390 Mathematics QA1-939 Gijbels Irène Matterne Margot Study of partial and average conditional Kendall’s tau |
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When the interest is in studying conditional dependencies, and more precisely the strength of conditional dependencies, some kind of averaging over the conditioning random vector may be needed. Examples of average measures that can serve in this context are the average conditional Kendall’s tau and partial Kendall’s tau. It is known that these measures differ in general. Some statistical tests are based on these average measures, and a better knowledge of them is of importance. The aim of this paper is to provide a quantitative study of the possible differences of these two average measures, and to establish su˚cient conditions under which they coincide. Both measures are studied in two fairly general settings. In each setting theoretical results are established as well as several illustrative examples given. |
format |
article |
author |
Gijbels Irène Matterne Margot |
author_facet |
Gijbels Irène Matterne Margot |
author_sort |
Gijbels Irène |
title |
Study of partial and average conditional Kendall’s tau |
title_short |
Study of partial and average conditional Kendall’s tau |
title_full |
Study of partial and average conditional Kendall’s tau |
title_fullStr |
Study of partial and average conditional Kendall’s tau |
title_full_unstemmed |
Study of partial and average conditional Kendall’s tau |
title_sort |
study of partial and average conditional kendall’s tau |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/d2e7572502b345e695db5d26b87a8aa0 |
work_keys_str_mv |
AT gijbelsirene studyofpartialandaverageconditionalkendallstau AT matternemargot studyofpartialandaverageconditionalkendallstau |
_version_ |
1718371746593112064 |