An invitation to quantum econometrics
© 2018, Springer International Publishing AG. We elaborate on the possibility to considering quantum probability calculus to improve statistical methods in economics in general, and in quantitative finance, in particular. A tutorial on the analogy between quantum mechanics and models in econometrics...
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th-cmuir.6653943832-585902018-09-05T04:26:34Z An invitation to quantum econometrics Hung T. Nguyen Le Si Dong Computer Science © 2018, Springer International Publishing AG. We elaborate on the possibility to considering quantum probability calculus to improve statistical methods in economics in general, and in quantitative finance, in particular. A tutorial on the analogy between quantum mechanics and models in econometrics, using Kolmogorov probability theory, is given. Several research issues are mentioned. 2018-09-05T04:26:34Z 2018-09-05T04:26:34Z 2018-01-01 Book Series 1860949X 2-s2.0-85038876242 10.1007/978-3-319-73150-6_3 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038876242&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58590 |
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Computer Science Hung T. Nguyen Le Si Dong An invitation to quantum econometrics |
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© 2018, Springer International Publishing AG. We elaborate on the possibility to considering quantum probability calculus to improve statistical methods in economics in general, and in quantitative finance, in particular. A tutorial on the analogy between quantum mechanics and models in econometrics, using Kolmogorov probability theory, is given. Several research issues are mentioned. |
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Book Series |
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Hung T. Nguyen Le Si Dong |
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Hung T. Nguyen Le Si Dong |
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Hung T. Nguyen |
title |
An invitation to quantum econometrics |
title_short |
An invitation to quantum econometrics |
title_full |
An invitation to quantum econometrics |
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An invitation to quantum econometrics |
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An invitation to quantum econometrics |
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invitation to quantum econometrics |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038876242&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58590 |
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