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This paper first illustrates that a mutual information index detects and ranks dependence of a wide variety of absolutely continuous families, but the popular association and variance reduction indices fail to serve as such “common metrics”. We then elaborate on some theoretical merits of...
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functions centered at each data point. This framework provides a lower bound for the entropy of the kernel estimate of the … distribution in terms of the entropy of the kernel function and the bandwidth, an input information measure for kernel smoothing …, and a measure of information for kernel estimation. A family of maximum entropy kernels that includes several well …
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