Jeffreys rule of conditioning generalized to belief functions

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📝 Original Info

  • Title: Jeffreys rule of conditioning generalized to belief functions
  • ArXiv ID: 1303.1514
  • Date: 2013-03-08
  • Authors: Researchers from original ArXiv paper

📝 Abstract

Jeffrey's rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models based on belief functions. We show that several forms of Jeffrey's conditionings can be defined that correspond to the geometrical rule of conditioning and to Dempster's rule of conditioning, respectively.

💡 Deep Analysis

Deep Dive into Jeffreys rule of conditioning generalized to belief functions.

Jeffrey’s rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models based on belief functions. We show that several forms of Jeffrey’s conditionings can be defined that correspond to the geometrical rule of conditioning and to Dempster’s rule of conditioning, respectively.

📄 Full Content

Jeffrey's rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models based on belief functions. We show that several forms of Jeffrey's conditionings can be defined that correspond to the geometrical rule of conditioning and to Dempster's rule of conditioning, respectively.

Reference

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