1. CMU Intellectual Repository

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Results 1-10 of 17 (Search time: 0.003 seconds).
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Issue DateTitleAuthor(s)
1-Jan-2018How 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-2018Quantitative justification for the gravity model in economicsVladik Kreinovich; Songsak Sriboonchitta
1-Jan-2018Markowitz portfolio theory helps decrease medicines’ side effect and speed up machine learningThongchai Dumrongpokaphan; Vladik Kreinovich
1-Jan-2018A bad plan is better than no plan: A theoretical justification of an empirical observationSongsak Sriboonchitta; Vladik Kreinovich
1-Jan-2018Kuznets curve: A simple dynamical system-based explanationThongchai Dumrongpokaphan; Vladik Kreinovich
1-Jan-2018PrefaceVladik Kreinovich; Songsak Sriboonchitta; Nopasit Chakpitak
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-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-2018Efficient parameter-estimating algorithms for symmetry-motivated models: Econometrics and beyondVladik Kreinovich; Anh H. Ly; Olga Kosheleva; Songsak Sriboonchitta
1-Jan-2018Quantum ideas in economics beyond quantum econometricsVladik Kreinovich; Hung T. Nguyen; Songsak Sriboonchitta

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