Robustness as a criterion for selecting a probability distribution under uncertainty
© Springer International Publishing AG 2017. Often, we only have partial knowledge about a probability distribution, and we would like to select a single probability distribution ρ(x) out of all probability distributions which are consistent with the available knowledge. One way to make this selecti...
محفوظ في:
المؤلفون الرئيسيون: | Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva |
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التنسيق: | Book Series |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012885667&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46709 |
الوسوم: |
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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Robustness as a criterion for selecting a probability distribution under uncertainty
بواسطة: Songsak Sriboonchitta, وآخرون
منشور في: (2018) -
Robustness as a criterion for selecting a probability distribution under uncertainty
بواسطة: Sriboonchitta S., وآخرون
منشور في: (2017) -
Why some families of probability distributions are practically efficient: A symmetry-based explanation
بواسطة: Vladik Kreinovich, وآخرون
منشور في: (2018) -
How better are predictive models: Analysis on the practically important example of robust interval uncertainty
بواسطة: Vladik Kreinovich, وآخرون
منشور في: (2018) -
How better are predictive models: Analysis on the practically important example of robust interval uncertainty
بواسطة: Vladik Kreinovich, وآخرون
منشور في: (2018)