Description Usage Arguments Author(s) References Examples
Returns the Z estimator of Symetrized Kullback-Leibler Divergence, which has exponentialy decaying bias. See Zhang and Grabchak (2014b) for details.
1 | SymKL.z(x, y)
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x |
Vector of counts from first distribution. Must be integer valued. Each entry represents the number of observations of a distinct letter. |
y |
Vector of counts from second distribution. Must be integer valued. Each entry represents the number of observations of a distinct letter. |
Lijuan Cao and Michael Grabchak
Z. Zhang and M. Grabchak (2014b). Nonparametric Estimation of Kullback-Leibler Divergence. Neural Computation, DOI 10.1162/NECO_a_00646.
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