The combination of belief: When and how fast?
Tài liệu tham khảo
Kyburg, 1987, Bayesian and non-bayesian evidential updating, AI, 31, 271
Fagin, 1990, A new approach to updating beliefs, 317
Wasserman, 1990, Prior envelopes based on belief functions, Ann. Stat., 18, 454, 10.1214/aos/1176347511
Jaffray, 1990, Bayesian updating and belief functions, 120
Ruspini, 1986, The logical foundations of evidential reasoning
Wilson, 1989, Justification, computational efficiency and generalization of the Dempster-shafer theory, 15
Wilson, 1990, Rules, belief functions and default logic, 443
Shafer, 1976
Shafer, 1982, Belief functions and parametric models (with discussion), J. Roy. Stat. Soc. Ser. B, 44, 322
Williams, 1982, Belief functions and parametric models (with discussion), J. Roy. Stat. Soc. Ser. B, 44, 322
Dempster, 1967, Upper and lower probabilities induced by a multivalued mapping, Ann. Math. Stat., 38, 325, 10.1214/aoms/1177698950
Pearl, 1990, Reasoning with belief functions: an analysis of compatibility, Int. J. Approx. Reasoning, 4, 363, 10.1016/0888-613X(90)90013-R
Shafer, 1982, Lindley's paradox (with discussion), J. Am. Stat. Assoc., 7, 325, 10.1080/01621459.1982.10477809
Dempster, 1987, Probability judgment in artificial intelligence and expert systems (with discussion), Stat. Sci., 2, 3, 10.1214/ss/1177013426
Wilson, 1991, The Representation of Prior Knowledge in a Dempster-Shafer approach
Pearl, 1988, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 455
Kämpke, 1988, About assessing and evaluating uncertain inferences within the theory of evidence, Decision Support Syst., 4, 433, 10.1016/0167-9236(88)90006-1
Kreinovich, 1990, Monte-Carlo methods allow to avoid exponential time in Dempster-Shafer formalism
Henrion, 1986, Propagating uncertainty by logic sampling in Bayes' networks
Shenoy, 1986, Propagating belief functions with local computations, IEEE Expert, 1, 43, 10.1109/MEX.1986.4306979
Kennes, 1990, Computational aspects of the Möbius transform, 344