| 期刊全称 | Applications of Optimal Transport to Economics and Related Topics | | 影响因子2023 | Vladik Kreinovich,Woraphon Yamaka,Supanika Leurcha | | 视频video | | | 发行地址 | 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 | | 学科分类 | Studies in Systems, Decision and Control | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 17:41:48
