On a multivariate copula-based dependence measure and its estimation
Author:
Affiliation:
1. Department of Mathematics, University of Salzburg, 5020 Salzburg, Austria
2. Department of Biosciences, University of Salzburg, 5020 Salzburg, Austria
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference48 articles.
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3. Székely, G. J., Rizzo, M. L. and Bakirov, N. K. (2007). Measuring and testing dependence by correlation of distances. Ann. Statist. 35 2769–2794.
4. Reshef, D. N., Reshef, Y. A., Finucane, H. K., Grossman, S. R., McVean, G., Turnbaugh, P. J., Lander, E. S., Mitzenmacher, M. and Sabeti, P. C. (2011). Detecting novel associations in large data sets. Science 334 1518–1524.
5. RÜSCHENDORF, L. (2009). On the distributional transform, Sklar’s theorem, and the empirical copula process. J. Statist. Plann. Inference 139 3921–3927.
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