메뉴 건너뛰기




Volumn 26, Issue 1, 2014, Pages 57-83

ParceLiNGAM: A causal ordering method robust against latent confounders

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; THEORETICAL MODEL;

EID: 84892996617     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00533     Document Type: Article
Times cited : (67)

References (24)
  • 4
    • 84877802320 scopus 로고    scopus 로고
    • Causality in linear nongaussian acyclic models in the presence of latent gaussian confounders
    • Chen, Z., & Chan, L. (2013). Causality in linear nongaussian acyclic models in the presence of latent gaussian confounders. Neural Computation, 25, 1605-1641.
    • (2013) Neural Computation , vol.25 , pp. 1605-1641
    • Chen, Z.1    Chan, L.2
  • 5
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • Comon, P. (1994). Independent component analysis, a new concept?. Signal Processing, 36, 62-83.
    • (1994) Signal Processing , vol.36 , pp. 62-83
    • Comon, P.1
  • 7
    • 82055200638 scopus 로고    scopus 로고
    • Discovering unconfounded causal relationships using linear non-gaussian models
    • New Frontiers in Artificial Intelligence, Lecture Notes in Computer Science, 6797 . New York: Springer.
    • Entner, D., & Hoyer, P. O. (2011). Discovering unconfounded causal relationships using linear non-gaussian models. New Frontiers in Artificial Intelligence, Lecture Notes in Computer Science, 6797 (pp. 181-195). New York: Springer.
    • (2011) , pp. 181-195
    • Entner, D.1    Hoyer, P.O.2
  • 11
    • 84858789485 scopus 로고    scopus 로고
    • Nonlinear causal discovery with additive noise models
    • In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.),
    • Hoyer, P. O., Janzing, D., Mooij, J., Peters, J., & Schölkopf, B. (2009).Nonlinear causal discovery with additive noise models. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in neural information processing systems, 21 (pp. 689-696).
    • (2009) Advances in neural information processing systems , vol.21 , pp. 689-696
    • Hoyer, P.O.1    Janzing, D.2    Mooij, J.3    Peters, J.4    Schölkopf, B.5
  • 14
    • 84873446677 scopus 로고    scopus 로고
    • Pairwise likelihood ratios for estimation of non-gaussian structural equation models
    • Hyvärinen, A., & Smith, S. M. (2013). Pairwise likelihood ratios for estimation of non-gaussian structural equation models. Journal of Machine Learning Research, 14, 111-152.
    • (2013) Journal of Machine Learning Research , vol.14 , pp. 111-152
    • Hyvärinen, A.1    Smith, S.M.2
  • 15
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • Lewicki, M.,&Sejnowski, T. J. (2000). Learning overcomplete representations. Neural Computation, 12, 337-365.
    • (2000) Neural Computation , vol.12 , pp. 337-365
    • Lewicki, M.1    Sejnowski, T.J.2
  • 16
    • 71149096052 scopus 로고    scopus 로고
    • Regression by dependence minimization and its application to causal inference in additive noise models
    • In Proceedings of the 26th International Conference on Machine Learning (ICML2009), Madison,WI: Omnipress., Canada
    • Mooij, J., Janzing, D., Peters, J., & Schölkopf, B. (2009). Regression by dependence minimization and its application to causal inference in additive noise models. In Proceedings of the 26th International Conference on Machine Learning (ICML2009), Montreal, Canada (pp. 745-752). Madison,WI: Omnipress.
    • (2009) Montreal , pp. 745-752
    • Mooij, J.1    Janzing, D.2    Peters, J.3    Schölkopf, B.4
  • 17
    • 77956888769 scopus 로고
    • Causal diagrams for empirical research
    • Pearl, J. (1995). Causal diagrams for empirical research. Biometrika, 82, 669-688.
    • (1995) Biometrika , vol.82 , pp. 669-688
    • Pearl, J.1
  • 21
    • 0000955487 scopus 로고
    • On a property of the normal distribution
    • Skitovitch, W. P. (1953). On a property of the normal distribution. Doklady Akademii Nauk SSSR, 89, 217-219.
    • (1953) Doklady Akademii Nauk SSSR , vol.89 , pp. 217-219
    • Skitovitch, W.P.1
  • 24
    • 84867666606 scopus 로고    scopus 로고
    • Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders
    • In Proceedings of International Conference on Artificial Neural Networks (ICANN2012),Lausanne, Switzerland , New York: Springer.
    • Tashiro, T., Shimizu, S., Hyvärinen, A., & Washio, T. (2012). Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders. In Proceedings of International Conference on Artificial Neural Networks (ICANN2012), Lausanne, Switzerland (pp. 491-498). New York: Springer.
    • (2012) , pp. 491-498
    • Tashiro, T.1    Shimizu, S.2    Hyvärinen, A.3    Washio, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.