articleIEEE Transactions on Information TheoryJun 23, 2003GREEN OA

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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Authors

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Topics & keywords

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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