Discovering unconfounded causal relationships using linear non-Gaussian models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6797 LNAI, Issue , 2011, Pages 181-195

  Entner, Doris ^a   Hoyer, Patrik O ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Causal Discovery; Latent Variables; Non Gaussianity

Indexed keywords

CAUSAL DISCOVERY; CAUSAL RELATIONSHIPS; DIRECTED ACYCLIC GRAPHS; HIDDEN VARIABLE; LATENT VARIABLE; NON-GAUSSIAN; NON-GAUSSIAN MODELS; NONGAUSSIANITY; TOTAL EFFECT; VARIABLE PAIR;

ARTIFICIAL INTELLIGENCE;

GAUSSIAN NOISE (ELECTRONIC);

EID: 82055200638     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25655-4_17     Document Type: Conference Paper

References (11)

1. Bollen, K.A.: Structural Equations with Latent Variables. John Wiley & Sons, Chichester (1989)
2. Darmois, G.: Analyse générale des liaisons stochastiques. RIIS 21 (1953)
3. Eriksson, J., Koivunen, V.: Identifiability, Separability, and Uniqueness of Linear ICA Models. IEEE Signal Processing Letters 11(7) (2004)
4. Gretton, A., Fukumizu, K., Teo, C.H., Song, L., Schölkopf, B., Smola, A.J.: A Kernel Statistical Test of Independence. In: Adv. NIPS (2008)
5. Hoyer, P.O., Shimizu, S., Kerminen, A.J., Palviainen, M.: Estimation of causal effects using linear non-Gaussian models with hidden variables. IJAR 49 (2008)
6. Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. Wiley Interscience, Hoboken (2001)
7. Kawahara, Y., Bollen, K., Shimizu, S., Washio, T.: GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables. arXiv:1006.5041v1 (2010)
8. Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge University Press, Cambridge (2000)
9. Shimizu, S., Hoyer, P.O., Hyvärinen, A., Kerminen, A.: A linear non-gaussian acyclic model for causal discovery. JMLR 7 (2006)
10. Skitovitch, W.P.: On a property of the normal distribution. DAN SSSR 89 (1953)
11. Spirtes, P., Glymour, C., Scheines, R.: Causation, Prediction and Search, 2nd edn. MIT Press, Cambridge (2000)