A non-negative expansion for small Jensen-Shannon Divergences

Details A non-negative expansion for small Jensen-Shannon Divergences A non-negative expansion for small Jensen-Shannon Divergences

2008-10-28

arxiv.org/abs/0810.5117v1

Statistics

Machine Learning

4 page technical report, 2 figures

Scientific paper

In this report, we derive a non-negative series expansion for the
Jensen-Shannon divergence (JSD) between two probability distributions. This
series expansion is shown to be useful for numerical calculations of the JSD,
when the probability distributions are nearly equal, and for which,
consequently, small numerical errors dominate evaluation.

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