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Causal inference in econometrics
- 其他作者：
- 其他題名：
- Studies in computational intelligence ;
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Studies in computational intelligence,volume 622
- 主題： Econometrics. , Engineering. , Computational Intelligence. , Quantitative Finance. , Quality Control, Reliability, Safety and Risk.
- ISBN： 9783319272849 (electronic bk.) 、 9783319272832 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 摘要註: This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.
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讀者標籤：
- 系統號： 005358603 | 機讀編目格式
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