KERNEL METHODS FOR INDEPENDENCE MEASUREMENT WITH COEFFICIENT CONSTRAINTS
2013 ◽
Vol 12
(01)
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pp. 1450006
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Keyword(s):
Tests to determine the dependence or independence of random variables X and Y are well established. Recently, criteria based on reproducing kernel Hilbert spaces has received much attentions. They are developed in the setting of norm of Hilbert spaces. In this paper we propose tests in the setting of constraints of coefficients of functions. Some estimates of tests are constructed. In particular the error between the test of constrained covariance and the estimate is bounded.
2021 ◽
Vol 500
(1)
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pp. 125107
2002 ◽
Vol 35
(1)
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pp. 103-108
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2013 ◽
Vol 11
(05)
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pp. 1350020
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2014 ◽
Vol 9
(4)
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pp. 827-931
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2009 ◽
Vol 80
(3)
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pp. 430-453
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2017 ◽
Vol 87
(2)
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pp. 225-244
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2006 ◽
Vol 52
(10)
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pp. 4635-4643
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2018 ◽
Vol 45
(2)
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pp. 869-896
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