| 書(shū)目名稱(chēng) | Partial Identification in Econometrics and Related Topics | | 編輯 | Nguyen Ngoc Thach,Nguyen Duc Trung,Vladik Kreinovi | | 視頻video | http://file.papertrans.cn/742/741545/741545.mp4 | | 概述 | Emphasizes partial identification econometric techniques.Explores both traditional and innovative ones such as game-theoretic approach, interval techniques, and machine learning.Covers data processing | | 叢書(shū)名稱(chēng) | Studies in Systems, Decision and Control | | 圖書(shū)封面 |  | | 描述 | .This book covers data processing techniques, with economic and financial application being the unifying theme. To make proper investments in economy, the authors need to have a good understanding of the future trends: how will demand change, how will prices change, etc. In general, in science, the usual way to make predictions is:..to identify a modelthat best fits the current dynamics, and..to use this model topredict the future behavior.. .In many practical situations—especially in economics—our past experiences are limited. As a result, the authors can only achieve a partial identification. It is therefore important to be able to make predictions based on such partially identified models—which is the main focus of this book. This book emphasizes partial identification techniques, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as game-theoretic approach, interval techniques, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (credit and banking, energy, health, labor, tourism, int | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Econometrics; Regression models; Machine Learning; Finance; Income diversificatio; Decision Making | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-59110-5 | | isbn_softcover | 978-3-031-59112-9 | | isbn_ebook | 978-3-031-59110-5Series 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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