What Is Going on Inside the Arrows? Discovering the Hidden Springs in Causal Models
What Is Going on Inside the Arrows? Discovering the Hidden Springs in Causal Models
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DOI：
10.1086/682962
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发表时间：
2015-10-01
影响因子：
1.7
通讯作者：
Glymour, Clark
中科院分区：
文献类型：
--
作者：
Murray-Watters, Alexander;Glymour, Clark
使用Gebharter的表示，我们认为方面的问题，发现未测量的子机制的结构时，这些子机制中的变量没有被测量。利用早期的洞察力的Sober的，我们提供了一个正确的算法，用于识别潜在的，内源性的结构子机制，为一类受限制的结构。该算法可以与其他方法合并，用于发现未测量变量之间的因果关系，有时可以学习测量变量和未观察到的原因之间的反馈关系。
Using Gebharter's representation, we consider aspects of the problem of discovering the structure of unmeasured submechanisms when the variables in those submechanisms have not been measured. Exploiting an early insight of Sober's, we provide a correct algorithm for identifying latent, endogenous structure-submechanisms-for a restricted class of structures. The algorithm can be merged with other methods for discovering causal relations among unmeasured variables, and feedback relations between measured variables and unobserved causes can sometimes be learned.