DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
Aapo Hyvrinen and Patrik O. Hoyer and Shohei Shimizu and Takanori Inazumi and Yasuhiro Sogawa and Yoshinobu Kawahara and Takashi Washio and Kenneth Bollen

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.pdf 934.53kB
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Metadata:
@article{12:33,author={Shohei Shimizu and Takanori Inazumi and Yasuhiro Sogawa and Aapo Hyvrinen and Yoshinobu Kawahara and Takashi Washio and Patrik O. Hoyer and Kenneth Bollen}, Title={DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model},journal={Journal of Machine Learning Research},volume={12}, url={http://www.jmlr.org/papers/volume12/shimizu11a/shimizu11a.pdf}}
Citation:
Hyvrinen, A., Hoyer, P. O., Shimizu, S., Inazumi, T., Sogawa, Y., Kawahara, Y., Washio, T., & Bollen, K.. (2014). DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model [Data set]. Academic Torrents. https://academictorrents.com/details/65bc332a9ff22064b7d377174051e15955826649

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