Description Usage Arguments Author(s) References Examples

Returns the Z estimator of Kullback-Leibler Divergence, which has exponentially decaying bias. See Zhang and Grabchak (2014b) for details.

1 | ```
KL.z(x, y)
``` |

`x` |
Vector of counts from the first distribution. Must be integer valued. Each entry represents the number of observations of a distinct letter. |

`y` |
Vector of counts from the 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, 26(11): 2570-2593.

1 2 3 4 |

EntropyEstimation documentation built on May 29, 2017, 9:08 a.m.

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