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Irene Gijbels et al.
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Noel Veraverbeke et al.
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Tests of independence among continuous random vectors based on Cramer-von Mises functionals of the empirical copula process
Ivan Kojadinovic et al.
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Bruno Remillard et al.
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Asymptotics for argmin processes: Convexity arguments
Kengo Kato
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Uniform convergence rates for kernel estimation with dependent data
Bruce E. Hansen
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Liangjun Su et al.
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A consistent characteristic function-based test for conditional independence
Liangjun Su et al.
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Nonparametric tests of independence between random vectors
R. Beran et al.
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Inferring cellular networks - a review
Florian Markowetz et al.
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Modelling asymmetric exchange rate dependence
AJ Patton
INTERNATIONAL ECONOMIC REVIEW (2006)
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P Major
PROBABILITY THEORY AND RELATED FIELDS (2006)
Local efficiency of a Cramer-von Mises test of independence
C Genest et al.
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Weak convergence of empirical copula processes
JD Fermanian et al.
BERNOULLI (2004)
Tests of independence and randomness based on the empirical copula process
C Genest et al.
TEST (2004)
An empirical process approach to the uniform consistency of kernel-type function estimators
U Einmahl et al.
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