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Issue Date
Title
Author(s)
1-Jan-2016
Which robust versions of sample variance and sample covariance are most appropriate for econometrics: Symmetry-based analysis
Songsak Sriboonchitta
;
Ildar Batyrshin
;
Vladik Kreinovich
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-2016
How to select an appropriate similarity measure: Towards a symmetry-based approach
Ildar Batyrshin
;
Thongchai Dumrongpokaphan
;
Vladik Kreinovich
;
Olga Kosheleva
1-Jan-2016
Bayesian approach to intelligent control and its relation to fuzzy control
Kongliang Zhu
;
Olga Kosheleva
;
Vladik Kreinovich
1-Jan-2016
Empirically successful transformations from non-gaussian to close-to-gaussian distributions: Theoretical justification
Thongchai Dumrongpokaphan
;
Pedro Barragan
;
Vladik Kreinovich
1-Jan-2016
Invariance explains multiplicative and exponential skedactic functions
Vladik Kreinovich
;
Olga Kosheleva
;
Hung T. Nguyen
;
Songsak Sriboonchitta
1-Jan-2016
Why some families of probability distributions are practically efficient: A symmetry-based explanation
Vladik Kreinovich
;
Olga Kosheleva
;
Hung T. Nguyen
;
Songsak Sriboonchitta
1-Jan-2016
Across-the-board spending cuts are very inefficient: A proof
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-Mar-2016
Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
Vladik Kreinovich
;
Hung T. Nguyen
;
Songsak Sriboonchitta
Discover
Author
8
Hung T. Nguyen
8
Olga Kosheleva
6
Songsak Sriboonchitta
2
Ildar Batyrshin
2
Thongchai Dumrongpokaphan
1
Kongliang Zhu
1
Pedro Barragan
Subject
9
Mathematics
8
Computer Science