Independent natural extension
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Publication:650526
DOI10.1016/j.artint.2011.06.001zbMath1234.68380OpenAlexW2040428229MaRDI QIDQ650526
Publication date: 25 November 2011
Published in: Artificial Intelligence (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.artint.2011.06.001
factorisationstrong productcoherent lower previsionsepistemic independenceepistemic irrelevanceindependent natural extension
Reasoning under uncertainty in the context of artificial intelligence (68T37) Axioms; other general questions in probability (60A05)
Related Items (23)
Computing lower and upper expected first-passage and return times in imprecise birth-death chains ⋮ Comonotone lower probabilities with robust marginal distributions functions ⋮ Robust Bayesian analysis in partially ordered plausibility calculi ⋮ Conformity and independence with coherent lower previsions ⋮ Credal networks under epistemic irrelevance ⋮ Sklar's theorem in an imprecise setting ⋮ A behavioural justification for using sensitivity analysis in imprecise multinomial processes ⋮ Epistemic irrelevance in credal nets: the case of imprecise Markov trees ⋮ Comonotonicity for sets of probabilities ⋮ Addressing ambiguity in randomized reinsurance stop-loss treaties using belief functions ⋮ Demystifying dilation ⋮ The use of Markov operators to constructing generalised probabilities ⋮ Independence and 2-monotonicity: nice to have, hard to keep ⋮ Independent natural extension ⋮ Sound approximate reasoning about saturated conditional probabilistic independence under controlled uncertainty ⋮ Independent natural extension for infinite spaces ⋮ Credal networks under epistemic irrelevance: the sets of desirable gambles approach ⋮ Independent products in infinite spaces ⋮ Graphoid properties of concepts of independence for sets of probabilities ⋮ On the complexity of propositional and relational credal networks ⋮ Information algebras in the theory of imprecise probabilities ⋮ Independent natural extension for choice functions ⋮ Kuznetsov independence for interval-valued expectations and sets of probability distributions: properties and algorithms
Cites Work
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- An Efficient Algorithm for Estimating State Sequences in Imprecise Hidden Markov Models
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