Statistical matching of multiple sources: A look through coherence
International Journal of Approximate Reasoning
Exploiting independencies to compute semigraphoid and graphoid structures
International Journal of Approximate Reasoning
Generalized Bayesian inference in a fuzzy context: From theory to a virtual reality application
Computational Statistics & Data Analysis
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This paper deals with coherent conditional probability able to manage uncertainty, partial knowledge and conditional independence, overcoming the critical situations presented by the classic independence definition. When a probability is not complete (i.e. it is defined on an arbitrary set of conditional events) the conditional independence statements are not necessarily automatically induced by the values of the assessment, so given a set of independence statements its compatibility with the numerical values (conditional probability) need to be checked. This problem related to the compatibility of independence statements and conditional probability assessment is studied and a procedure for checking the compatibility is proposed.