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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hung T. Nguyen | en_US |
| dc.contributor.author | Le Si Dong | en_US |
| dc.date.accessioned | 2018-09-05T04:26:34Z | - |
| dc.date.available | 2018-09-05T04:26:34Z | - |
| dc.date.issued | 2018-01-01 | en_US |
| dc.identifier.issn | 1860949X | en_US |
| dc.identifier.other | 2-s2.0-85038876242 | en_US |
| dc.identifier.other | 10.1007/978-3-319-73150-6_3 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038876242&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/58590 | - |
| dc.description.abstract | © 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. | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | An invitation to quantum econometrics | en_US |
| dc.type | Book Series | en_US |
| article.title.sourcetitle | Studies in Computational Intelligence | en_US |
| article.volume | 760 | en_US |
| article.stream.affiliations | New Mexico State University Las Cruces | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| article.stream.affiliations | Banking University | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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