| 期刊全稱 | Applications of Optimal Transport to Economics and Related Topics | | 影響因子2023 | Vladik Kreinovich,Woraphon Yamaka,Supanika Leurcha | | 視頻video | http://file.papertrans.cn/168/167498/167498.mp4 | | 發(fā)行地址 | Explores versatile econometric techniques, from optimal transport to deep learning.Applies cutting-edge methods to diverse economic realms.Bridges the gap between practitioners and researchers for imp | | 學科分類 | Studies in Systems, Decision and Control | | 圖書封面 |  | | 影響因子 | .Often, when a new successful data processing techniques appears in one of the application areas, it then proves to be useful in many other areas. This was the case of optimal transportation techniques: these techniques were first developed for transportation problems, but now they have been shown to be successful in many statistical applications, including applications to economics. These techniques are the main focus of this book, but this book also contain papers that use other techniques, ranging from more traditional statistical approaches to more recent ones such as stochastic frontier methods, multivariable quantiles, random forest, and deep learning. Applications include all aspects of economics, from production (including agricultural) to trade (including international) and finances, with relation to issues of crime (including computer crime and cyberbullying), demographics, economic freedom, environment, health, and tourism. We hope that this volume will: help practitioners to become better knowledgeable of the state-of-the-art econometric techniques, especially optimal transport techniques, and help researchers to further develop these important research directions. We w | | Pindex | Book 2024 |
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