论文标题
信息理论本质上是一种因果关系吗？
Is Information Theory Inherently a Theory of Causation?
论文作者
论文摘要
信息理论通过将变量之间的关联表示为张量，从而引起了一种新颖的因果骨骼发现方法。这种基于张量的方法降低了测试条件独立性所需的数据的维度，例如，对于包含三个变量的系统，可以使用配对确定的张量来确定因果骨架。为了得出此结果，提出了另一种信息度量，路径信息。
Information theory gives rise to a novel method for causal skeleton discovery by expressing associations between variables as tensors. This tensor-based approach reduces the dimensionality of the data needed to test for conditional independence, e.g., for systems comprising three variables, the causal skeleton can be determined using pair-wise determined tensors. To arrive at this result, an additional information measure, path information, is proposed.
