Maximum Uncertainty Procedures for Interval-Valued Probability Distributions
Artificial Intelligence
2013-04-08 v1
Abstract
Measures of uncertainty and divergence are introduced for interval-valued probability distributions and are shown to have desirable mathematical properties. A maximum uncertainty inference procedure for marginal interval distributions is presented. A technique for reconstruction of interval distributions from projections is developed based on this inference procedure
Keywords
Cite
@article{arxiv.1304.1522,
title = {Maximum Uncertainty Procedures for Interval-Valued Probability Distributions},
author = {Michael Pittarelli},
journal= {arXiv preprint arXiv:1304.1522},
year = {2013}
}
Comments
Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989)