Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap

  title={Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap},
  author={Yusuke Komatsu and Shohei Shimizu and Hidetoshi Shimodaira},
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover such causal models and has been extended in various directions. An important problem with LiNGAM is that the results are affected by the random sampling of the data as with any statistical method. Thus, some analysis of the confidence levels should be conducted. A common method to evaluate a confidence level is a… 
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Non-Gaussian Methods for Learning Linear Structural Equation Models
Slide 8: [1, 2]. Slide 10: [2]. Slide 11: [3]. Slide 15: [4]. Slide 16: [5, 6]. Slide 19: [7, 8, 9, 10, 11, 12, 13, 14]. Slide 21: [14]. Slide 22: [7]. Slide 23: [15, 16]. Slide 24: [7, 17, 18].


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  • Biology, Medicine
    Evolution; international journal of organic evolution
  • 1985
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