Altered-LiNGAM (ALiNGAM) for solving nonlinear causal models when data is nonlinear and noisy

Mathematics

• Nonlinear 100%
• Gaussian Distribution 100%
• Causal Model 100%
• Real-World Data 16%
• Directed Acyclic Graph 8%
• Data Type 8%
• Causal Relation 8%
• Causal Inference 8%
• Nonlinear Data Analysis 8%

Keyphrases

• Linear non-Gaussian Acyclic Model (LiNGAM) 100%
• Causal Direction 20%
• Nonlinear Causality 20%
• Linear Causality 10%
• Error Minimization 10%
• Mixture Data 10%
• Estimation Process 10%
• Causal Inference 10%
• Causal Order 10%
• Causal Relations 10%
• Kinship Relations 10%
• Non-Gaussian Mixtures 10%

Neuroscience

• Causal Model 100%
• Amino Acid Sequence 50%