Optimal Transport Statistics for Economics and Related Topics

Lieferzeit: Lieferbar innerhalb 14 Tagen

267,49 

Studies in Systems, Decision and Control 483

ISBN: 3031357620
ISBN 13: 9783031357626
Herausgeber: Nguyen Ngoc Thach/Vladik Kreinovich/Doan Thanh Ha et al
Verlag: Springer Verlag GmbH
Umfang: xi, 700 S., 16 s/w Illustr., 101 farbige Illustr., 700 p. 117 illus., 101 illus. in color.
Erscheinungsdatum: 31.10.2023
Auflage: 1/2024
Produktform: Gebunden/Hardback
Einband: Gebunden

Covers data processing techniques, with economic and financial application being the unifying themeDescribes econometric techniques, ranging from traditional statistical techniques to more innovative ones Emphasizes techniques of optimal transport statistics

Artikelnummer: 9467552 Kategorie:

Beschreibung

This volume emphasizes techniques of optimal transport statistics, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as quantiles (in particular, multidimensional quantiles), maximum entropy approach, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (construction, credit and banking, energy, health, labor, textile, tourism, international trade) to specific issues affecting economy such as bankruptcy, effect of Covid-19 pandemic, effect of pollution, effect of gender, cryptocurrencies, and the existence of shadow economy. Papers presented in this volume also cover data processing techniques, with economic and financial application being the unifying theme. This volume shows what has been achieved, but even more important are remaining open problems. We hope that this volume will: ˆ inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, and ˆ inspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena.

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E-Mail: juergen.hartmann@springer.com

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