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 Zhikun Wang

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Average citations per article0.50
Citation Count1
Publication count2
Publication years2013-2015
Available for download1
Average downloads per article137.00
Downloads (cumulative)137
Downloads (12 Months)39
Downloads (6 Weeks)4
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December 2015 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Causal Discovery and Inference: Volume 7 Issue 2, January 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 39,   Downloads (Overall): 137

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Compared to constraint-based causal discovery, causal discovery based on functional causal models is able to identify the whole causal model under appropriate assumptions [Shimizu et al. 2006; Hoyer et al. 2009; Zhang and Hyvärinen 2009b]. Functional causal models represent the effect as a function of the direct causes together with ...
Keywords: Causal discovery, maximum likelihood, statistical independence, functional causal model, post-nonlinear causal model

2
December 2013 ICDMW '13: Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Compared to constraint-based causal discovery, causal discovery based on functional causal models is able to identify the whole causal model under appropriate assumptions. Functional causal models represent the effect as a function of the direct causes together with an independent noise term. Examples include the linear non-Gaussian a cyclic model ...
Keywords: Causal discovery, Functional causal model, Post-nonlinear causal model, maximum likelihood, mutual information minimization, Warped Gaussian processes



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