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Dependent Possibilistic Arithmetic using Copulas., , , , and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 169-179. PMLR, (2021)Constructing Consonant Predictive Beliefs from Data with Scenario Theory., , , and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 357-360. PMLR, (2021)Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty., , , and . Interval / Probabilistic Uncertainty and Non-Classical Logics, volume 46 of Advances in Soft Computing, Springer, (2008)Uncertainty in risk analysis: towards a general second-order approach combining interval, probabilistic, and fuzzy techniques., , , , and . FUZZ-IEEE, page 1342-1347. IEEE, (2002)A Possibilistic Interpretation of Ensemble Predictions: Experiments on the Imperfect Lorenz 96 Model, and . (2019)While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible., , , and . SSCI, page 1-6. IEEE, (2021)Commentary: IUCN classifications under uncertainty., , , , , and . Environ. Model. Softw., (2012)Correlated Boolean Operators for Uncertainty Logic., , , and . IPMU (1), volume 1601 of Communications in Computer and Information Science, page 798-811. Springer, (2022)Exact Bounds on Finite Populations of Interval Data., , , , and . Reliab. Comput., 11 (3): 207-233 (2005)Trade-off between sample size and accuracy: Case of measurements under interval uncertainty., , , and . Int. J. Approx. Reason., 50 (8): 1164-1176 (2009)