Measures of uncertainty in expert systems
Artificial Intelligence
Updating beliefs with incomplete observations
Artificial Intelligence
Statistical Matching: Theory and Practice (Wiley Series in Survey Methodology)
Statistical Matching: Theory and Practice (Wiley Series in Survey Methodology)
Statistical matching of multiple sources: A look through coherence
International Journal of Approximate Reasoning
Updating coherent previsions on finite spaces
Fuzzy Sets and Systems
Correction of incoherent conditional probability assessments
International Journal of Approximate Reasoning
Some theoretical properties of conditional probability assessments
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
International Journal of Approximate Reasoning
Quasi conjunction, quasi disjunction, t-norms and t-conorms: Probabilistic aspects
Information Sciences: an International Journal
Conditional random quantities and iterated conditioning in the setting of coherence
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
International Journal of Approximate Reasoning
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Several economic applications require to consider different data sources and to integrate the information coming from them. This paper focuses on statistical matching, in particular we deal with incoherences. In fact, when logical constraints among the variables are present incoherencies on the probability evaluations can arise. The aim of this paper is to remove such incoherences by using different methods based on distances minimization or least commitment imprecise probabilities extensions. An illustrative example shows peculiarities of the different correction methods. Finally, limited to pseudo distance minimization, we performed a systematic comparison through a simulation study.