Browsing by Author Olga Kosheleva

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 16 to 35 of 37 < previous   next >
Issue DateTitleAuthor(s)
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
1-Jan-2020Why Bohmian Approach to Quantum Econometrics: An Algebraic ExplanationVladik Kreinovich; Olga Kosheleva; 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-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-2017Why is linear quantile regression empirically successful: A possible explanationHung T. Nguyen; Vladik Kreinovich; Olga Kosheleva; Songsak Sriboonchitta
1-Feb-2016Why it is important to precisiate goalsOlga Kosheleva; Vladik Kreinovich; Hung T. Nguyen
1-Jan-2020Why linear expressions in discounting and in empathy: a symmetry-based explanationSupanika Leurcharusmee; Laxman Bokati; Olga Kosheleva
1-Jan-2016Why some families of probability distributions are practically efficient: A symmetry-based explanationVladik Kreinovich; Olga Kosheleva; Hung T. Nguyen; Songsak Sriboonchitta