Symmetrical Independence Tests for Two Random Vectors with Arbitrary Dimensional Graphs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s10114-022-0045-6.pdf
Reference20 articles.
1. Biswas, M., Sarkar, S., Ghosh, A. K.: On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions. Journal of Statistical Planning and Inference, 175, 78–86 (2016)
2. Blomqvist, N.: On a measure of dependence between two random variables. Annals of Mathematical Statistics, 21, 593–600 (1950)
3. Friedman, J., Rafsky, L.: Graph-theoretic measures of multivariate association and prediction. The Annals of Statistics, 11, 377–391 (1983)
4. Gieser, P. W., Randles, R. H.: A nonparametric test of independence between two vectors. Journal of the American Statistical Association, 92, 561–567 (1997)
5. Gibbons, J. D., Chakraborti, S.: Nonparametric Statistical Inference, CRC Press, Boca Raton, Florida, 2010
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