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Jun, 2012
独立成分分析发现循环因果模型
Discovering Cyclic Causal Models by Independent Components Analysis
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Gustavo Lacerda, Peter L. Spirtes, Joseph Ramsey, Patrik O. Hoyer
TL;DR
本篇论文通过ICA方法，利用连续观测数据，发现了线性非高斯的因果结构模型(LiNGAM-SEM)。该LiNGAM发现算法所输出的SEM分布等价类在大样本情况下是种群分布，并提出了仅有其中一个SEM稳定的充分条件。
Abstract
We generalize Shimizu et al's (2006)
ica
-based approach for discovering linear non-Gaussian acyclic (
lingam
) Structural Equation Models (SEMs) from causally sufficient, continuous-valued
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