Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fundamental concepts of qualitative probabilistic networks
Artificial Intelligence
Measures of uncertainty in expert systems
Artificial Intelligence
Artificial Intelligence - Special issue on relevance
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Artificial Intelligence
Semigraphoids and structures of probabilistic conditional independence
Annals of Mathematics and Artificial Intelligence
On Two Pseudo-Paradoxes in Bayesian Analysis
Annals of Mathematics and Artificial Intelligence
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance
Annals of Mathematics and Artificial Intelligence
Algorithms for Conditioning on Events of Zero Lower Probability
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Reasoning about Uncertainty
Irrelevance and independence relations in Quasi-Bayesian networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Independence concepts for convex sets of probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Computing lower and upper expectations under epistemic independence
International Journal of Approximate Reasoning
A survey of the theory of coherent lower previsions
International Journal of Approximate Reasoning
Probabilistic logic with independence
International Journal of Approximate Reasoning
Conditional independence structure and its closure: Inferential rules and algorithms
International Journal of Approximate Reasoning
Epistemic irrelevance in credal nets: The case of imprecise Markov trees
International Journal of Approximate Reasoning
Acyclic directed graphs representing independence models
International Journal of Approximate Reasoning
Artificial Intelligence
Bruno de Finetti and imprecision: Imprecise probability does not exist!
International Journal of Approximate Reasoning
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This paper investigates Walley's concepts of epistemic irrelevance and epistemic independence for imprecise probability models. We study the mathematical properties of irrelevance and independence, and their relation to the graphoid axioms. Examples are given to show that epistemic irrelevance can violate the symmetry, contraction and intersection axioms, that epistemic independence can violate contraction and intersection, and that this accords with informal notions of irrelevance and independence.