Kernel-based measures of association

Cites Work

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Measuring and testing dependence by correlation of distances
Detecting Novel Associations in Large Data Sets
On quantifying dependence: a framework for developing interpretable measures
Distance covariance in metric spaces
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Brownian distance covariance
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Why significant variables aren’t automatically good predictors
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An informational measure of correlation
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A new approach to variable metric algorithms
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Conditioning of Quasi-Newton Methods for Function Minimization
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On Information and Sufficiency
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Random forests
Choosing multiple parameters for support vector machines
Discussion of: Brownian distance covariance
Discussion of: Brownian distance covariance
Testing block‐diagonal covariance structure for high‐dimensional data

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