Separoids
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance. We introduce an axiomatic definition of a mathematical structure that we term a separoid. We develop some general mathematical properties of separoids and related axiom systems, as well as connections with other mathematical structures, such as distributive lattices, Hilbert spaces, and graphs. And we show, by means of a detailed account of a number of models of the separoid axioms, how the concept of separoid unifies a variety of notions of ‘irrelevance’ arising out of different formalisms for representing uncertainty in Probability, Statistics, Artificial Intelligence, and other fields.
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References in zbMATH (referenced in 14 articles )
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- Wang, Jinfang: Computation of conditional independence using cain polynomials (2011)
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- Smith, Jim Q.: Bayesian decision analysis. Principles and practice. (2010)
- Wang, Jinfang: A universal algebraic approach for conditional independence (2010)
- Baioletti, Marco; Busanello, Giuseppe; Vantaggi, Barbara: Conditional independence structure and its closure: inferential rules and algorithms (2009)
- Cozman, Fabio G.; Walley, Peter: Graphoid properties of epistemic irrelevance and independence (2006)
- Zaffalon, Marco (ed.); de Cooman, Gert (ed.): Special issue: Imprecise probability perspectives on artificial intelligence. Selected papers based on the presentation at the 2nd international symposium on imprecise probabilities and their applications (ISIPTA ’01), Ithaca, NY, USA, June 26--29, 2001 (2006)
- Ben Yaghlane, Boutheina; Smets, Philippe; Mellouli, Khaled: Belief function independence. II: The conditional case. (2002)
- Studený, Milan: On stochastic conditional independence: The problems of characterization and description (2002)
- Dawid, A.P.: Separoids: a mathematical framework for conditional independence and irrelevance (2001)