Testing independence based on Bernstein empirical copula and copula density
Author:
Affiliation:
1. Département de mathématiques, Université de Sherbrooke, Sherbrooke, Canada
2. Durham University Business School, Durham University, UK
Funder
Natural Sciences and Engineering Research Council of Canada
Spanish MINECO
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10485252.2017.1303063
Reference29 articles.
1. Belalia, M. (2016), ‘Estimation et inférence non paramétriques basées sur les polynômes de Bernstein’, Ph.D. dissertation, Université de Sherbrooke.
2. A multivariate empirical characteristic function test of independence with normal marginals
3. Distribution Free Tests of Independence Based on the Sample Distribution Function
4. Mutual information as a measure of multivariate association: analytical properties and statistical estimation
5. Computing the nonnull asymptotic variance and the asymptotic relative efficiency of Spearman's rank correlation
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