Causal Inference in Econometrics

计量经济学的因果推理(丛书)

人工智能

原   价:
1989.00
售   价:
1591.00
优惠
平台大促 低至8折优惠
出版时间
2016年01月15日
装      帧
精装
ISBN
9783319272832
复制
页      码
529
语      种
英语
综合评分
暂无评分
我 要 买
- +
库存 29 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
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.
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个