Beyond traditional probabilistic methods in econometrics

© Springer Nature Switzerland AG 2019. We elaborate on various uncertainty calculi in current research efforts to improve empirical econometrics. These consist essentially of considering appropriate non additive (and non commutative) probabilities, as well as taking into account economic data which...

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Main Authors:	Hung T. Nguyen, Nguyen Duc Trung, Nguyen Ngoc Thach
Format:	Book Series
Published:	2019
Subjects:	Computer Science
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065610990&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65551
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Institution:	Chiang Mai University

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spelling	th-cmuir.6653943832-655512019-08-05T04:35:14Z Beyond traditional probabilistic methods in econometrics Hung T. Nguyen Nguyen Duc Trung Nguyen Ngoc Thach Computer Science © Springer Nature Switzerland AG 2019. We elaborate on various uncertainty calculi in current research efforts to improve empirical econometrics. These consist essentially of considering appropriate non additive (and non commutative) probabilities, as well as taking into account economic data which involved economic agents’ behavior. After presenting a panorama of well-known non traditional probabilistic methods, we focus on the emerging effort of taking the analogy of financial econometrics with quantum mechanics to exhibit the promising use of quantum probability for modeling human behavior, and of Bohmian mechanics for modeling economic data. 2019-08-05T04:35:14Z 2019-08-05T04:35:14Z 2019-01-01 Book Series 1860949X 2-s2.0-85065610990 10.1007/978-3-030-04200-4_1 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065610990&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65551
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science
spellingShingle	Computer Science Hung T. Nguyen Nguyen Duc Trung Nguyen Ngoc Thach Beyond traditional probabilistic methods in econometrics
description	© Springer Nature Switzerland AG 2019. We elaborate on various uncertainty calculi in current research efforts to improve empirical econometrics. These consist essentially of considering appropriate non additive (and non commutative) probabilities, as well as taking into account economic data which involved economic agents’ behavior. After presenting a panorama of well-known non traditional probabilistic methods, we focus on the emerging effort of taking the analogy of financial econometrics with quantum mechanics to exhibit the promising use of quantum probability for modeling human behavior, and of Bohmian mechanics for modeling economic data.
format	Book Series
author	Hung T. Nguyen Nguyen Duc Trung Nguyen Ngoc Thach
author_facet	Hung T. Nguyen Nguyen Duc Trung Nguyen Ngoc Thach
author_sort	Hung T. Nguyen
title	Beyond traditional probabilistic methods in econometrics
title_short	Beyond traditional probabilistic methods in econometrics
title_full	Beyond traditional probabilistic methods in econometrics
title_fullStr	Beyond traditional probabilistic methods in econometrics
title_full_unstemmed	Beyond traditional probabilistic methods in econometrics
title_sort	beyond traditional probabilistic methods in econometrics
publishDate	2019
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065610990&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65551
_version_	1681426289982963712

Beyond traditional probabilistic methods in econometrics

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