scientific article; zbMATH DE number 845703
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Publication:4864282
zbMath0834.62004MaRDI QIDQ4864282
Publication date: 18 April 1996
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
inductive logicinvariance principlerandomized clinical trialsDirichlet distributionBernoulli trialsimprecise probabilitiesmultinomial datacontingency tableimprecise Dirichlet modelprior ignorancenew methodfrequentist inferencescardiorespiratory failurecoherent inferencesposterior upper and lower probabilities
Applications of statistics to biology and medical sciences; meta analysis (62P10) Foundations and philosophical topics in statistics (62A01)
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Cites Work
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- Unnamed Item
- Perspectives on the theory and practice of belief functions
- The role of fuzzy logic in the management of uncertainty in expert systems
- Reasoning with belief functions: An analysis of compatibility
- Decision analysis using belief functions
- Constructive probability
- Semantical considerations on nonmonotonic logic
- Probabilistic logic
- Bayesian and non-Bayesian evidential updating
- Implementing Dempster's rule for hierarchical evidence
- Belief function representations of statistical evidence
- Default reasoning and possibility theory
- Automating argument construction
- A logic for default reasoning
- Varieties of modal (classificatory) and comparative probability
- Towards a frequentist theory of upper and lower probability
- Papers on probability, statistics and statistical physics. Ed. by R. D. Rosenkrantz
- Evidence, knowledge, and belief functions
- Resolving misunderstandings about belief functions
- Comments on Shafer's Perspectives on the theory and practice of belief functions
- The combination of belief: When and how fast?
- Rejoinder to comments on ``Reasoning with belief functions: An analysis of compatibility
- Rejoinders to comments on Perspectives on the theory and practice of belief functions
- Two views of belief: Belief as generalized probability and belief as evidence
- Generalized finite differences and Bayesian conditioning of Choquet capacities
- Interval probability propagation
- Fuzzy sets as a basis for a theory of possibility
- The concept of a linguistic variable and its application to approximate reasoning. III
- The transferable belief model
- Probability judgment in artificial intelligence and expert systems. With discussion
- Bayesian analysis in expert systems. With comments and a rejoinder by the authors
- Bayes' theorem for Choquet capacities
- On the justification of Dempster's rule of combination
- Dempster's rule of combination is {\#}P-complete
- The concept of conditional fuzzy measure
- Semantics for fuzzy reasoning
- Bargaining and Competition Part II: Existence
- Bayesian updating and belief functions
- STATISTICAL INFERENCES BASED ON A SECOND-ORDER POSSIBILITY DISTRIBUTION
- Statistical and Knowledge-Based Approaches to Clinical Decision-Support Systems, with an Application in Gastroenterology
- Fuzzy sets
- Upper and Lower Probabilities Induced by a Multivalued Mapping
- Robust Statistics
- A method for managing evidential reasoning in a hierarchical hypothesis space: a retrospective
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