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Results 1-10 of 11 (Search time: 0.002 seconds).
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Issue DateTitleAuthor(s)
1-Jan-2015Why copulas have been successful in many practical applications: A theoretical explanation based on computational efficiencyVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta; Olga Kosheleva
1-Jan-2015Why ARMAX-GARCH linear models successfully describe complex nonlinear phenomena: A possible explanationHung T. Nguyen; Vladik Kreinovich; Olga Kosheleva; Songsak Sriboonchitta
1-Jan-2015Why ARMAX-GARCH linear models successfully describe complex nonlinear phenomena: A possible explanationHung T. Nguyen; Vladik Kreinovich; Olga Kosheleva; Songsak Sriboonchitta
1-Jan-2016Need for most accurate discrete approximations explains effectiveness of statistical methods based on heavy-tailed distributionsSongsak Sriboonchitta; Vladik Kreinovich; Olga Kosheleva; Hung T. Nguyen
1-Mar-2016Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond ProbabilitiesVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta
1-Jan-2018Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and FuzzinessKittawit Autchariyapanitkul; Olga Kosheleva; Vladik Kreinovich; Songsak Sriboonchitta
1-Jan-2015Why copulas have been successful in many practical applications: A theoretical explanation based on computational efficiencyVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta; Olga Kosheleva
1-Jan-2018Fuzzy data processing beyond min t-normAndrzej Pownuk; Vladik Kreinovich; Songsak Sriboonchitta
1-Jan-2017For multi-interval-valued fuzzy sets, centroid defuzzification is equivalent to defuzzifying its interval hull: A theoremVladik Kreinovich; Songsak Sriboonchitta
1-Jan-2020Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets AlgorithmVladik Kreinovich; Olga Kosheleva; Shahnaz N. Shahbazova; Songsak Sriboonchitta

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