Combination of Upper and Lower Probabilities
Abstract
In this paper, we consider several types of information and methods of combination associated with incomplete probabilistic systems. We discriminate between 'a priori' and evidential information. The former one is a description of the whole population, the latest is a restriction based on observations for a particular case. Then, we propose different combination methods for each one of them. We also consider conditioning as the heterogeneous combination of 'a priori' and evidential information. The evidential information is represented as a convex set of likelihood functions. These will have an associated possibility distribution with behavior according to classical Possibility Theory.
Cite
Text
Cano et al. "Combination of Upper and Lower Probabilities." Conference on Uncertainty in Artificial Intelligence, 1991.Markdown
[Cano et al. "Combination of Upper and Lower Probabilities." Conference on Uncertainty in Artificial Intelligence, 1991.](https://mlanthology.org/uai/1991/cano1991uai-combination/)BibTeX
@inproceedings{cano1991uai-combination,
title = {{Combination of Upper and Lower Probabilities}},
author = {Cano, Jose E. and Moral, Serafin and Verdegay-Lopez, Juan F.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1991},
url = {https://mlanthology.org/uai/1991/cano1991uai-combination/}
}