图 书 馆
使用工具变量的条件分类树Conditional Classification Trees Using Instrumental Variables |
|
| 课程网址: | http://videolectures.net/ida07_tutore_cct/ |
| 主讲教师: | Valerio Aniello Tutore |
| 开课单位: | 那不勒斯大学 |
| 开课时间: | 2007-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The framework of this paper is supervised learning using classification trees. Two types of variables play a role in the definition of the classification rule, namely a response variable and a set of predictors. The tree classifier is built up by a recursive partitioning of the prediction space such to provide internally homogeneous groups of objects with respect to the response classes. In the following, we consider the role played by an instrumental variable to stratify either the variables or the objects. This yields to introduce a tree-based methodology for conditional classification. Two special cases will be discussed to grow multiple discriminant trees and partial predictability trees. These approaches use discriminant analysis and predictability measures respectively. Empirical evidence of their usefulness will be shown in real case studies. |
| 关 键 词: | 监督学习; 分类树; 响应变量; 预测因子; 预测空间 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-28：heyf |
| 阅读次数: | 50 |