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Volumn , Issue , 2010, Pages 193-200

Identifying causal effects with computer algebra

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 80053159615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (22)
  • 3
    • 0036932305 scopus 로고    scopus 로고
    • A graphical criterion for the identification of causal effects in linear models
    • Menlo Park, CA: AAAI Press
    • C. Brito and J. Pearl (2002). A graphical criterion for the identification of causal effects in linear models. In Eighteenth National Conference on Artificial Intelligence, 533-538. Menlo Park, CA: AAAI Press.
    • (2002) Eighteenth National Conference on Artificial Intelligence , pp. 533-538
    • Brito, C.1    Pearl, J.2
  • 11
    • 33750720924 scopus 로고    scopus 로고
    • Identifiability in causal bayesian networks: A sound and complete algorithm
    • Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    • Y. Huang and M. Valtorta (2006). Identifiability in causal Bayesian networks: A sound and complete algorithm. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06), 1149-1154 . (Pubitemid 44705430)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.2 , pp. 1149-1154
    • Huang, Y.1    Valtorta, M.2
  • 12
    • 0010665340 scopus 로고    scopus 로고
    • Identifiability criteria for causal effects of joint interventions
    • M. Kuroki and M. Miyakawa (1999). Identifiability criteria for causal effects of joint interventions. Journal of Japan Statistical Society 29(2):105-117.
    • (1999) Journal of Japan Statistical Society , vol.29 , Issue.2 , pp. 105-117
    • Kuroki, M.1    Miyakawa, M.2
  • 15
    • 0023203075 scopus 로고
    • A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods
    • J. M. Robins (1987). A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods. Journal of Chronic Diseases 40(Suppl 2):139S-161S.
    • (1987) Journal of Chronic Diseases , vol.40 , Issue.SUPPL. 2
    • Robins, J.M.1
  • 17
    • 0002925736 scopus 로고
    • Causal ordering and identifiability
    • W. C. Hood and T. Koopmans (eds.). Wiley and Sons, Inc
    • H. Simon (1953). Causal ordering and identifiability. In W. C. Hood and T. Koopmans (eds.), Studies in Econometric Method. 49-74. Wiley and Sons, Inc.
    • (1953) Studies in Econometric Method , pp. 49-74
    • Simon, H.1
  • 20
    • 29344453182 scopus 로고    scopus 로고
    • Identifying direct causal effects in linear models
    • Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05
    • J. Tian (2005). Identifying direct causal effects in linear models. In Proceedings of the National Conference on Artificial Intelligence (AAAI), 346-352. AAAI Press/The MIT Press. (Pubitemid 43006800)
    • (2005) Proceedings of the National Conference on Artificial Intelligence , vol.1 , pp. 346-352
    • Tian, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.