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Volumn , Issue , 2008, Pages 554-561

Identifying dynamic sequential plans

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL BAYESIAN NETWORK; IDENTIFICATION ALGORITHMS;

EID: 77953722981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (17)
  • 2
    • 0036679398 scopus 로고    scopus 로고
    • Inuence diagrams for causal modelling and inference
    • A.P. Dawid. Inuence diagrams for causal modelling and inference. International Statistical Review, 70(2), 2002.
    • (2002) International Statistical Review , vol.70 , Issue.2
    • Dawid, A.P.1
  • 5
    • 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. Identifiability in causal bayesian networks: A sound and complete algorithm. In Proceedings of the Twenty-First National Conference on Articial Intelligence, pages 1149-1154, Menlo Park, CA, July 2006. AAAI Press. (Pubitemid 44705430)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.2 , pp. 1149-1154
    • Huang, Y.1    Valtorta, M.2
  • 6
    • 0002440758 scopus 로고    scopus 로고
    • Graphical models for causal inference
    • O.E. Barndor-Nielsen, D. Cox, and C. Kluppelberg, editors, chapter 2. Chapman and Hall/CRC Press, London/Boca Raton
    • S. Lauritzen. Graphical models for causal inference. In O.E. Barndor-Nielsen, D. Cox, and C. Kluppelberg, editors, Complex Stochastic Systems, chapter 2, pages 67-112. Chapman and Hall/CRC Press, London/Boca Raton, 2000.
    • (2000) Complex Stochastic Systems , pp. 67-112
    • Lauritzen, S.1
  • 7
    • 0000657751 scopus 로고
    • Probabilistic evaluation of sequential plans from causal models with hidden variables
    • P. Besnard and S. Hanks, editors. Morgan Kaufmann, San Francisco
    • J. Pearl and J.M. Robins. Probabilistic evaluation of sequential plans from causal models with hidden variables. In P. Besnard and S. Hanks, editors, Uncertainty in Artificial Intelligence 11, pages 444-453. Morgan Kaufmann, San Francisco, 1995.
    • (1995) Uncertainty in Artificial Intelligence , vol.11 , pp. 444-453
    • Pearl, J.1    Robins, J.M.2
  • 11
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with a sustained exposure period - Applications to control of the healthy workers survivor effect
    • J.M. Robins. A new approach to causal inference in mortality studies with a sustained exposure period - applications to control of the healthy workers survivor effect. Mathematical Modeling, 7:1393-1512, 1986.
    • (1986) Mathematical Modeling , vol.7 , pp. 1393-1512
    • Robins, J.M.1
  • 12
    • 0023203075 scopus 로고
    • A graphical approach to the Identification and estimation of causal parameters in mortality studies with sustained exposure periods
    • J.M. Robins. 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.
    • (1987) Journal of Chronic Diseases , vol.40 , Issue.SUPPL. 2
    • Robins, J.M.1
  • 14
    • 33750742436 scopus 로고    scopus 로고
    • Identification of joint interventional distributions in recursive semi-Markovian causal models
    • Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    • I. Shpitser and J. Pearl. Identification of joint interventional distributions in recursive semi-markovian causal models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pages 1219-1226, Menlo Park, CA, July 2006. AAAI Press. (Pubitemid 44705441)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.2 , pp. 1219-1226
    • Shpitser, I.1    Pearl, J.2
  • 16
    • 0003819728 scopus 로고    scopus 로고
    • Technical Report R-290-L, Department of Computer Science, University of California, Los Angeles
    • J. Tian and J. Pearl. On the Identification of causal effects. Technical Report R-290-L, Department of Computer Science, University of California, Los Angeles, 2003. http://www.cs.iastate.edu/-jtian/r290-L.pdf.
    • (2003) On the Identification of Causal Effects
    • Tian, J.1    Pearl, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.