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Credible asset allocation, optimal t...

Sriboonchitta, Songsak.

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Credible asset allocation, optimal transport methods, and related topics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Credible asset allocation, optimal transport methods, and related topics/ edited by Songsak Sriboonchitta, Vladik Kreinovich, Woraphon Yamaka.
其他作者:	Sriboonchitta, Songsak.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xi, 773 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Econometrics - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-97273-8
ISBN:	9783030972738

Credible asset allocation, optimal transport methods, and related topics
Credible asset allocation, optimal transport methods, and related topics[electronic resource] /edited by Songsak Sriboonchitta, Vladik Kreinovich, Woraphon Yamaka. - Cham :Springer International Publishing :2022. - xi, 773 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4292198-4190 ;. - Studies in systems, decision and control ;v. 429..

This book describes state-of-the-art economic ideas and how these ideas can be (and are) used to make economic decision (in particular, to optimally allocate assets) and to gauge the results of different economic decisions (in particular, by using optimal transport methods). Special emphasis is paid to machine learning techniques (including deep learning) and to different aspects of quantum econometrics-when quantum physics and quantum computing models are techniques are applied to study economic phenomena. Applications range from more traditional economic areas to more non-traditional topics such as economic aspects of tourism, cryptocurrencies, telecommunication infrastructure, and pandemic. This book helps student to learn new techniques, practitioners to become better knowledgeable of the state-of-the-art econometric techniques, and researchers to further develop these important research directions.

ISBN: 9783030972738

Standard No.: 10.1007/978-3-030-97273-8doiSubjects--Topical Terms:

710078
Econometrics
--Data processing.

LC Class. No.: HB141 / .C74 2022

Dewey Class. No.: 330.015195

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