Merging with a set of probability measures: A characterization

@inproceedings{Noguchi2015MergingWA,
  title={Merging with a set of probability measures: A characterization},
  author={Yuichi Noguchi},
  year={2015}
}
In this paper, I provide a characterization of a set of probability measures with which a prior weakly merges. In this regard, I introduce the concept of conditioning rules that represent the regularities of probability measures and define the eventual generation of probability measures by a family of conditioning rules. I then show that a set of probability measures is learnable (i.e., all probability measures in the set are weakly merged by a prior) if and only if all probability measures in… CONTINUE READING

Topics from this paper.

Similar Papers

Loading similar papers…