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How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty.

, , , и . Predictive Econometrics and Big Data, том 753 из Studies in Computational Intelligence, Springer, (2018)

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Practical Need for Algebraic (Equality-Type) Solutions of Interval Equations and for Extended-Zero Solutions., , , и . PPAM (2), том 10778 из Lecture Notes in Computer Science, стр. 412-421. Springer, (2017)Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications, и . Studies in Computational Intelligence Springer, (2018)Los Alamos National Laboratory Uncertainty Workshop: An Interval Perspective., и . Reliab. Comput., 12 (1): 65-71 (2006)On hardware support for interval computations and for soft computing: theorems., , , и . IEEE Trans. Fuzzy Syst., 5 (1): 108-127 (1997)Efficient algorithms for heavy-tail analysis under interval uncertainty., , и . Ann. Oper. Res., 195 (1): 73-96 (2012)Coincidences Are not Accidental: a Theorem.. Cybern. Syst., 30 (5): 429-440 (1999)On the functional form of convex underestimators for twice continuously differentiable functions., и . Optim. Lett., 1 (2): 187-192 (2007)Probabilities, Intervals, What Next? Optimization Problems Related to Extension of Interval Computations to Situations with Partial Information about Probabilities.. J. Glob. Optim., 29 (3): 265-280 (2004)Application-motivated combinations of fuzzy, interval and probability approaches, and their use in geoinformatics, bioinformatics and engineering.. Int. J. Autom. Control., 2 (2/3): 153-177 (2008)Review of the book John Kay and Mervyn King, Radical Uncertainty: Decision Making Beyond the Numbers, W. W. Norton and Co., New York, 2020.. J. Intell. Fuzzy Syst., 39 (3): 4803-4805 (2020)