Information Sciences: an International Journal
Conditional Independence in A Coherent Finite Setting
Annals of Mathematics and Artificial Intelligence
From Conditional Events to Conditional Measures: A New Axiomatic Approach
Annals of Mathematics and Artificial Intelligence
Locally Strong Coherence in Inference Processes
Annals of Mathematics and Artificial Intelligence
Conditional Events with Vague Information in Expert Systems
IPMU '90 Proceedings of the 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Uncertainty in Knowledge Bases
Stochastic independence for upper and lower probabilities in a coherent setting
Technologies for constructing intelligent systems
Independence concepts for convex sets of probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Stochastic independence for upper and lower probabilities in a coherent setting
Technologies for constructing intelligent systems
Conditional independence structures and graphical models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Computing lower and upper expectations under epistemic independence
International Journal of Approximate Reasoning
Possibility theory: Conditional independence
Fuzzy Sets and Systems
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning
Probabilistic logic with strong independence
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Independence in possibility theory under different triangular norms
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
International Journal of Approximate Reasoning
Hi-index | 0.00 |
Our aim is to put under the right perspective the theory of stochastic independence in the framework of coherent probability theory, taking suitably into account also events whose probability is zero or one. Moreover, in a coherent setting, upper and lower probabilities come naturally to the fore, and so we discuss the issues raised when trying to extend stochastic independence to this more general concept.