A Distance Measure for Bounding Probabilistic Belief Change

  title={A Distance Measure for Bounding Probabilistic Belief Change},
  author={Hei Chan and Adnan Darwiche},
  journal={Int. J. Approx. Reasoning},
We propose a distance measure between two probability distributions, which allows one to bound the amount of belief change that occurs when moving from one distribution to another. We contrast the proposed measure with some well known measures, including KL-divergence, showing how they fail to be the basis for bounding belief change as is done using the proposed measure. We then present two practical applications of the proposed distance measure: sensitivity analysis in belief networks and… CONTINUE READING

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