Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models
We present new measures of the causal direction, or direction of effect, between two non-Gaussian random variables. They are based on the likelihood ratio under the linear non-Gaussian acyclic model (LiNGAM). We also develop simple first-order approximations of the likelihood ratio and analyze them...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2013
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