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Results 1-10 of 17 (Search time: 0.003 seconds).
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Issue Date
Title
Author(s)
1-Jan-2018
How to estimate statistical characteristics based on a sample: Nonparametric maximum likelihood approach leads to sample mean, sample variance, etc.
Vladik Kreinovich
;
Thongchai Dumrongpokaphan
1-Jan-2018
Quantitative justification for the gravity model in economics
Vladik Kreinovich
;
Songsak Sriboonchitta
1-Jan-2018
Markowitz portfolio theory helps decrease medicines’ side effect and speed up machine learning
Thongchai Dumrongpokaphan
;
Vladik Kreinovich
1-Jan-2018
A bad plan is better than no plan: A theoretical justification of an empirical observation
Songsak Sriboonchitta
;
Vladik Kreinovich
1-Jan-2018
Kuznets curve: A simple dynamical system-based explanation
Thongchai Dumrongpokaphan
;
Vladik Kreinovich
1-Jan-2018
Preface
Vladik Kreinovich
;
Songsak Sriboonchitta
;
Nopasit Chakpitak
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-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-2018
Efficient parameter-estimating algorithms for symmetry-motivated models: Econometrics and beyond
Vladik Kreinovich
;
Anh H. Ly
;
Olga Kosheleva
;
Songsak Sriboonchitta
1-Jan-2018
Quantum ideas in economics beyond quantum econometrics
Vladik Kreinovich
;
Hung T. Nguyen
;
Songsak Sriboonchitta
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Michael Beer
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