图 书 馆
因果发现的基础Foundations of Causal Discovery |
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| 课程网址: | https://videolectures.net/videos/kdd2016_eberhardt_causal_discove... |
| 主讲教师: | Frederick Eberhardt |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2016-10-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The now widely used theory of causal graphical models considers causal relations among a set of statistical variables. The causal relations are represented in terms of a directed graph among the set of variables, and the task of causal discovery is to identify this causal structure on the basis of the probability distribution generated by the variables in the graph. I will provide an introduction and overview of some of the methods for causal discovery and present known identifiability results with a particular focus on the assumptions they depend on. |
| 关 键 词: | 发现因果; 因果图模型; 因果关系 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-01-04：liyq |
| 最后编审: | 2025-01-04：liyq |
| 阅读次数: | 54 |