Jensen divergence based on Fisher’s information

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Jensen divergence based on Fisher's information

The measure of Jensen-Fisher divergence between probability distributions is introduced and its theoretical grounds set up. This quantity, in contrast to the remaining Jensen divergences, is very sensitive to the fluctuations of the probability distributions because it is controlled by the (local) Fisher information, which is a gradient functional of the distribution. So, it is appropriate and ...

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Jensen-Shannon divergence, Fisher information, and Wootters’ hypothesis

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Non-parametric Jensen-Shannon Divergence

Quantifying the difference between two distributions is a common problem in many machine learning and data mining tasks. What is also common in many tasks is that we only have empirical data. That is, we do not know the true distributions nor their form, and hence, before we can measure their divergence we first need to assume a distribution or perform estimation. For exploratory purposes this ...

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A generalization of the Jensen divergence: The chord gap divergence

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ژورنال

عنوان ژورنال: Journal of Physics A: Mathematical and Theoretical

سال: 2012

ISSN: 1751-8113,1751-8121

DOI: 10.1088/1751-8113/45/12/125305