ML Anthology

Generalizing Jeffrey Conditionalization

Carl G. Wagner
UAI 1992 pp. 331-335
doi:10.1016/B978-1-4832-8287-9.50050-5 /uai/1992/wagner1992uai-generalizing/

Abstract

Jeffrey's rule has been generalized by Wagner to the case in which new evidence bounds the possible revisions of a prior probability below by a Dempsterian lower probability. Classical probability kinematics arises within this generalization as the special case in which the evidentiary focal elements of the bounding lower probability are pairwise disjoint. We discuss a twofold extension of this generalization, first allowing the lower bound to be any two-monotone capacity and then allowing the prior to be a lower envelope.

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Text

Wagner. "Generalizing Jeffrey Conditionalization." Conference on Uncertainty in Artificial Intelligence, 1992. doi:10.1016/B978-1-4832-8287-9.50050-5

Markdown

[Wagner. "Generalizing Jeffrey Conditionalization." Conference on Uncertainty in Artificial Intelligence, 1992.](https://mlanthology.org/uai/1992/wagner1992uai-generalizing/) doi:10.1016/B978-1-4832-8287-9.50050-5

BibTeX

@inproceedings{wagner1992uai-generalizing,
  title     = {{Generalizing Jeffrey Conditionalization}},
  author    = {Wagner, Carl G.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1992},
  pages     = {331-335},
  doi       = {10.1016/B978-1-4832-8287-9.50050-5},
  url       = {https://mlanthology.org/uai/1992/wagner1992uai-generalizing/}
}