On metric spaces of subcopulas

© 2020 In this work, we show that two distance functions independently defined on the space of subcopulas are topological equivalent. In this process, we also defined another distance function equivalent to the first two distances. Moreover, all metric spaces of subcopulas with fixed domain under th...

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主要作者: Santi Tasena
格式: 雜誌
出版: 2020
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spelling th-cmuir.6653943832-704422020-10-14T08:40:13Z On metric spaces of subcopulas Santi Tasena Computer Science Mathematics © 2020 In this work, we show that two distance functions independently defined on the space of subcopulas are topological equivalent. In this process, we also defined another distance function equivalent to the first two distances. Moreover, all metric spaces of subcopulas with fixed domain under the supremum distance are metric subspaces under this new distance function. We also prove that the Sklar correspondence can be viewed as a Lipschitz map under these metrics. Thus, the rate of convergence of empirical subcopulas can be computed directly from the rate of convergence of empirical distributions. The same holds for other statistics results. 2020-10-14T08:30:57Z 2020-10-14T08:30:57Z 2020-01-01 Journal 01650114 2-s2.0-85082683939 10.1016/j.fss.2020.03.021 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082683939&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70442
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Santi Tasena
On metric spaces of subcopulas
description © 2020 In this work, we show that two distance functions independently defined on the space of subcopulas are topological equivalent. In this process, we also defined another distance function equivalent to the first two distances. Moreover, all metric spaces of subcopulas with fixed domain under the supremum distance are metric subspaces under this new distance function. We also prove that the Sklar correspondence can be viewed as a Lipschitz map under these metrics. Thus, the rate of convergence of empirical subcopulas can be computed directly from the rate of convergence of empirical distributions. The same holds for other statistics results.
format Journal
author Santi Tasena
author_facet Santi Tasena
author_sort Santi Tasena
title On metric spaces of subcopulas
title_short On metric spaces of subcopulas
title_full On metric spaces of subcopulas
title_fullStr On metric spaces of subcopulas
title_full_unstemmed On metric spaces of subcopulas
title_sort on metric spaces of subcopulas
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082683939&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70442
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