Axioms and algorithms for inferences involving probabilistic independence
Information and Computation
Stochastic independence, algebraic independence and abstract connectedness
Theoretical Computer Science
Semigraphoids and structures of probabilistic conditional independence
Annals of Mathematics and Artificial Intelligence
Conditional Independence in A Coherent Finite Setting
Annals of Mathematics and Artificial Intelligence
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance
Annals of Mathematics and Artificial Intelligence
On Stochastic Conditional Independence: the Problems of Characterization and Description
Annals of Mathematics and Artificial Intelligence
The role of coherence for handling probabilistic evaluations and independence
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Racing algorithms for conditional independence inference
International Journal of Approximate Reasoning
Conditional independence structure and its closure: Inferential rules and algorithms
International Journal of Approximate Reasoning
Acyclic Directed Graphs to Represent Conditional Independence Models
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the implication problem for probabilistic conditional independency
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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We deal with conditional independencies, which have a fundamental role in probability and multivariate statistics. The structure of probabilistic independencies is described by semigraphoids or, for strictly positive probabilities, by graphoids. In this paper, given a set of independencies compatible with a probability, the attention is focused toward the problem of computing efficiently the closure with respect to the semigraphoid and graphoid structures. We introduce a suitable notion of projection in order to provide a new method which properly uses conditional independence statements.