| 書(shū)目名稱 | Optimal Transport Statistics for Economics and Related Topics | | 編輯 | Nguyen Ngoc Thach,Vladik Kreinovich,Nguyen Duc Tru | | 視頻video | http://file.papertrans.cn/703/702941/702941.mp4 | | 概述 | Covers data processing techniques, with economic and financial application being the unifying theme.Describes econometric techniques, ranging from traditional statistical techniques to more innovative | | 叢書(shū)名稱 | Studies in Systems, Decision and Control | | 圖書(shū)封面 |  | | 描述 | .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: ? inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, and ? inspire researchers to further impro | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Optimal Transport; Maximum Entropy Learning; Interval Uncertainty; Nash Equilibrium; Economic Activity | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-35763-3 | | isbn_softcover | 978-3-031-35765-7 | | isbn_ebook | 978-3-031-35763-3Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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