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Browsing by Author Olga Kosheleva

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Showing results 9 to 28 of 37 < previous   next >
Issue DateTitleAuthor(s)
1-Feb-2017Econometric models of probabilistic choice: beyond mcfadden’s formulasOlga Kosheleva; Vladik Kreinovich; Songsak Sriboonchitta
1-Jan-2018Efficient parameter-estimating algorithms for symmetry-motivated models: Econometrics and beyondVladik Kreinovich; Anh H. Ly; Olga Kosheleva; Songsak Sriboonchitta
1-Jan-2018How better are predictive models: Analysis on the practically important example of robust interval uncertaintyVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta; Olga Kosheleva
1-Feb-2017How to explain ubiquity of constant elasticity of substitution (CES) production and utility functions without explicitly postulating CESOlga Kosheleva; Vladik Kreinovich; Thongchai Dumrongpokaphan
1-Jan-2018How to gauge accuracy of processing big data: Teaching machine learning techniques to gauge their own accuracyVladik Kreinovich; Thongchai Dumrongpokaphan; Hung T. Nguyen; Olga Kosheleva
1-Jan-2021How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distributionVladik Kreinovich; Olga Kosheleva; Songsak Sriboonchitta
1-Jan-2016How to select an appropriate similarity measure: Towards a symmetry-based approachIldar Batyrshin; Thongchai Dumrongpokaphan; Vladik Kreinovich; Olga Kosheleva
1-Jan-2016Invariance explains multiplicative and exponential skedactic functionsVladik Kreinovich; Olga Kosheleva; Hung T. Nguyen; Songsak Sriboonchitta
7-Nov-2016Membership functions representing a number vs. representing a set: Proof of unique reconstructionHung T. Nguyen; Vladik Kreinovich; Olga Kosheleva
1-Jan-2017Modeling extremal events is not easy: Why the extreme value theorem cannot be as general as the central limit theoremVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta; Olga Kosheleva
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-Jan-2019Preferences (Partial pre-orders) on complex numbers – In view of possible use in quantum econometricsSongsak Sriboonchitta; Vladik Kreinovich; Olga Kosheleva
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
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-Feb-2017Robustness as a criterion for selecting a probability distribution under uncertaintySongsak Sriboonchitta; Hung T. Nguyen; Vladik Kreinovich; Olga Kosheleva
1-Jan-2020A Symmetry-Based Explanation of the Main Idea Behind Chubanov’s Linear Programming AlgorithmOlga Kosheleva; Vladik Kreinovich; Thongchai Dumrongpokaphan
30-Aug-2017Uncertain information fusion and knowledge integration: How to take reliability into accountHung T. Nguyen; Kittawit Autchariyapanitkul; Olga Kosheleva; Vladik Kreinovich
1-Dec-2015Why are vine copulas so successful in econometrics?Songsak Sriboonchitta; Olga Kosheleva; Hung T. Nguyen
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
Showing results 9 to 28 of 37 < previous   next >