Causal discovery for linear non-Gaussian acyclic models in the presence of latent Gaussian confounders

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7191 LNCS, Issue , 2012, Pages 17-24

  Chen, Zhitang ^a   Chan, Laiwan ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Causal analysis; cumulant based measure; latent Gaussian confounder; LiNGAM

Indexed keywords

CAUSAL ANALYSIS; CONFOUNDER; CUMULANT-BASED MEASURE; GAUSSIAN DISTRIBUTED; GAUSSIANS; LINGAM; NON-GAUSSIAN; REAL WORLD DATA; REAL-WORLD PROBLEM; SUB-GAUSSIANS; SUPER-GAUSSIAN;

SEPARATION;

GAUSSIAN DISTRIBUTION;

EID: 84863132746     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28551-6_3     Document Type: Conference Paper

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