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Volumn , Issue , 2010, Pages 121-128

On causal discovery from time series data using FCI

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL INFERENCES; CAUSAL RELATIONSHIPS; COMPUTER CODES; FIRM GROWTH; GRANGER CAUSALITY; SAMPLE SIZES; TIME-SERIES DATA;

EID: 84874727949     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (140)

References (15)
  • 1
    • 44649169097 scopus 로고    scopus 로고
    • Search for additive nonlinear time series causal models
    • Chu, T. and Glymour, C. (2008). Search for additive nonlinear time series causal models. JMLR, 9:967-991.
    • (2008) JMLR , vol.9 , pp. 967-991
    • Chu, T.1    Glymour, C.2
  • 4
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37:424-438.
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.J.1
  • 5
    • 77954648556 scopus 로고    scopus 로고
    • Sparse causal discovery in multivariate, time series
    • Haufe, S., Müller, K.-R., Nolte, G., and Krämer, N. (2010). Sparse causal discovery in multivariate time series. JMLR W&CP, 6:97-106.
    • (2010) JMLR W&CP , vol.6 , pp. 97-106
    • Haufe, S.1    Müller, K.-R.2    Nolte, G.3    Krämer, N.4
  • 6
    • 56449113928 scopus 로고    scopus 로고
    • Causal modelling combining instantaneous and lagged effects: An identifiable model based on non-gaussianity
    • Hyvärinen, A., Shimizu, S., and Hoyer, P. O. (2008). Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-gaussianity. In Proc. ICML, pages 424-431.
    • (2008) Proc. ICML , pp. 424-431
    • Hyvärinen, A.1    Shimizu, S.2    Hoyer, P.O.3
  • 7
    • 84874726533 scopus 로고    scopus 로고
    • Causal inference by independent component analysis with applications to micro- and macroeconomic data
    • Moneta, A., Entner, D., Hoyer, P. O., and Coad, A. (2010). Causal inference by independent component analysis with applications to micro- and macroeconomic data. Jena Economic Research Papers, pages 2010-2031.
    • (2010) Jena Economic Research Papers , pp. 2010-2031
    • Moneta, A.1    Entner, D.2    Hoyer, P.O.3    Coad, A.4
  • 13
    • 0031523817 scopus 로고    scopus 로고
    • Impulse response function based on a causal approach to residual orthogonalization in vector autoregressions
    • Swanson, N. R. and Granger, C.W. J. (1997). Impulse response function based on a causal approach to residual orthogonalization in vector autoregressions. Journal of the American Statistical Association, 92:357-367.
    • (1997) Journal of the American Statistical Association , vol.92 , pp. 357-367
    • Swanson, N.R.1    Granger, C.W.J.2
  • 14
    • 80053166385 scopus 로고    scopus 로고
    • Learning why things change: The difference-based causality learner
    • Voortman, M., Dash, D., and Druzdzel, M. J. (2010). Learning why things change: the difference-based causality learner. In Proc. UAI.
    • (2010) Proc. UAI.
    • Voortman, M.1    Dash, D.2    Druzdzel, M.J.3
  • 15
    • 52949097616 scopus 로고    scopus 로고
    • On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
    • Zhang, J. (2008). On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias. Artificial Intelligence, 172:1873-1896.
    • (2008) Artificial Intelligence , vol.172 , pp. 1873-1896
    • Zhang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.