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Maximum Uncertainty Procedures for Interval-Valued Probability Distributions

Published 27 Mar 2013 in cs.AI | (1304.1522v1)

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

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