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Browsing by Author Olga Kosheleva
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Showing results 9 to 28 of 37
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Issue Date
Title
Author(s)
1-Feb-2017
Econometric models of probabilistic choice: beyond mcfadden’s formulas
Olga Kosheleva
;
Vladik Kreinovich
;
Songsak Sriboonchitta
1-Jan-2018
Efficient parameter-estimating algorithms for symmetry-motivated models: Econometrics and beyond
Vladik Kreinovich
;
Anh H. Ly
;
Olga Kosheleva
;
Songsak Sriboonchitta
1-Jan-2018
How better are predictive models: Analysis on the practically important example of robust interval uncertainty
Vladik Kreinovich
;
Hung T. Nguyen
;
Songsak Sriboonchitta
;
Olga Kosheleva
1-Feb-2017
How to explain ubiquity of constant elasticity of substitution (CES) production and utility functions without explicitly postulating CES
Olga Kosheleva
;
Vladik Kreinovich
;
Thongchai Dumrongpokaphan
1-Jan-2018
How to gauge accuracy of processing big data: Teaching machine learning techniques to gauge their own accuracy
Vladik Kreinovich
;
Thongchai Dumrongpokaphan
;
Hung T. Nguyen
;
Olga Kosheleva
1-Jan-2021
How to reconcile maximum entropy approach with intuition: e.g., should interval uncertainty be represented by a uniform distribution
Vladik Kreinovich
;
Olga Kosheleva
;
Songsak Sriboonchitta
1-Jan-2016
How to select an appropriate similarity measure: Towards a symmetry-based approach
Ildar Batyrshin
;
Thongchai Dumrongpokaphan
;
Vladik Kreinovich
;
Olga Kosheleva
1-Jan-2016
Invariance explains multiplicative and exponential skedactic functions
Vladik Kreinovich
;
Olga Kosheleva
;
Hung T. Nguyen
;
Songsak Sriboonchitta
7-Nov-2016
Membership functions representing a number vs. representing a set: Proof of unique reconstruction
Hung T. Nguyen
;
Vladik Kreinovich
;
Olga Kosheleva
1-Jan-2017
Modeling extremal events is not easy: Why the extreme value theorem cannot be as general as the central limit theorem
Vladik Kreinovich
;
Hung T. Nguyen
;
Songsak Sriboonchitta
;
Olga Kosheleva
1-Jan-2016
Need for most accurate discrete approximations explains effectiveness of statistical methods based on heavy-tailed distributions
Songsak Sriboonchitta
;
Vladik Kreinovich
;
Olga Kosheleva
;
Hung T. Nguyen
1-Jan-2019
Preferences (Partial pre-orders) on complex numbers – In view of possible use in quantum econometrics
Songsak Sriboonchitta
;
Vladik Kreinovich
;
Olga Kosheleva
1-Jan-2020
Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm
Vladik Kreinovich
;
Olga Kosheleva
;
Shahnaz N. Shahbazova
;
Songsak Sriboonchitta
1-Jan-2018
Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness
Kittawit Autchariyapanitkul
;
Olga Kosheleva
;
Vladik Kreinovich
;
Songsak Sriboonchitta
1-Feb-2017
Robustness as a criterion for selecting a probability distribution under uncertainty
Songsak Sriboonchitta
;
Hung T. Nguyen
;
Vladik Kreinovich
;
Olga Kosheleva
1-Jan-2020
A Symmetry-Based Explanation of the Main Idea Behind Chubanov’s Linear Programming Algorithm
Olga Kosheleva
;
Vladik Kreinovich
;
Thongchai Dumrongpokaphan
30-Aug-2017
Uncertain information fusion and knowledge integration: How to take reliability into account
Hung T. Nguyen
;
Kittawit Autchariyapanitkul
;
Olga Kosheleva
;
Vladik Kreinovich
1-Dec-2015
Why are vine copulas so successful in econometrics?
Songsak Sriboonchitta
;
Olga Kosheleva
;
Hung T. Nguyen
1-Jan-2015
Why ARMAX-GARCH linear models successfully describe complex nonlinear phenomena: A possible explanation
Hung T. Nguyen
;
Vladik Kreinovich
;
Olga Kosheleva
;
Songsak Sriboonchitta
1-Jan-2015
Why ARMAX-GARCH linear models successfully describe complex nonlinear phenomena: A possible explanation
Hung T. Nguyen
;
Vladik Kreinovich
;
Olga Kosheleva
;
Songsak Sriboonchitta