A new metric for probability distributions
University of St Andrews · University of Würzburg
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Abstract
We introduce a metric for probability distributions, which is bounded, information-theoretically motivated, and has a natural Bayesian interpretation. The square root of the well-known /spl chi//sup 2/ distance is an asymptotic approximation to it. Moreover, it is a close relative of the capacitory discrimination and Jensen-Shannon divergence.
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2Topics & keywords
Topics
Keywords
- Metric (unit)
- Mathematics
- Divergence (linguistics)
- Probability distribution
- Bounded function
- Kullback–Leibler divergence
- Statistical distance
- Interpretation (philosophy)
UN Sustainable Development Goals
- Reduced inequalities
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