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Volumn , Issue , 2006, Pages 314-323

A theoretical study of Y structures for causal discovery

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL RELATIONS; DIRECTED ACYCLIC GRAPHS; OBSERVATIONAL DATA; SUFFICIENT CONDITIONS; THEORETICAL STUDY; Y-STRUCTURES;

EID: 80053136667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (17)
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  • 2
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  • 3
    • 0041035115 scopus 로고
    • A Bayesian approach to learning causal networks
    • San Francisco, California: Morgan Kaufmann Publishers
    • Heckerman, D. (1995). A Bayesian approach to learning causal networks. Eleventh Conference on Uncertainty in Artificial Intelligence (pp. 285-295). San Francisco, California: Morgan Kaufmann Publishers.
    • (1995) Eleventh Conference on Uncertainty in Artificial Intelligence , pp. 285-295
    • Heckerman, D.1
  • 4
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D., Geiger, D., & Chickering, D. M. (1995). Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20, 197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 5
    • 0012315692 scopus 로고    scopus 로고
    • A Bayesian approach to causal discovery
    • C. Glymour and G. F. Cooper (Eds.) Cambridge, MA: MIT Press
    • Heckerman, D., Meek, C., & Cooper, G. (1999). A Bayesian approach to causal discovery. In C. Glymour and G. F. Cooper (Eds.), Computation, Causation, and Discovery, 141-165. Cambridge, MA: MIT Press.
    • (1999) Computation, Causation, and Discovery , pp. 141-165
    • Heckerman, D.1    Meek, C.2    Cooper, G.3
  • 7
    • 84866514127 scopus 로고    scopus 로고
    • Causal discovery using a Bayesian local causal discovery algorithm
    • IOS Press
    • Mani, S., & Cooper, G. F. (2004). Causal discovery using a Bayesian local causal discovery algorithm. Proceedings of MedInfo (pp. 731-735). IOS Press.
    • (2004) Proceedings of MedInfo , pp. 731-735
    • Mani, S.1    Cooper, G.F.2
  • 8
    • 0001662579 scopus 로고
    • Maximum likelihood principle and model selection when the true model is unspecified
    • Nishii, R. (1988). Maximum likelihood principle and model selection when the true model is unspecified. Journal of Multivariate Analysis, 27, 392-403.
    • (1988) Journal of Multivariate Analysis , vol.27 , pp. 392-403
    • Nishii, R.1
  • 10
    • 0036392228 scopus 로고    scopus 로고
    • Ancestral graph Markov models
    • DOI 10.1214/aos/1031689015
    • Richardson, T., & Spirtes, P. (2002). Ancestral graph Markov models. Annals of Statistics, 30, 962-1030. (Pubitemid 37095336)
    • (2002) Annals of Statistics , vol.30 , Issue.4 , pp. 962-1030
    • Richardson, T.1    Spirtes, P.2
  • 11
    • 4143140555 scopus 로고    scopus 로고
    • Causal inference via ancestral graph models (with discussion)
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    • Richardson, T. S., & Spirtes, P. (2003). Causal inference via ancestral graph models (with discussion). In P. Green, N. Hjort and S. Richardson (Eds.), Highly structured stochastic systems, chapter 3, 83-105. Oxford, UK: Oxford University Press.
    • (2003) Highly Structured Stochastic Systems , pp. 83-105
    • Richardson, T.S.1    Spirtes, P.2
  • 12
    • 3843131653 scopus 로고    scopus 로고
    • Uniform consistency in causal inference
    • DOI 10.1093/biomet/90.3.491
    • Robins, J. M., Scheines, R., Spirtes, P., & Wasserman, L. (2003). Uniform consistency in causal inference. Biometrika, 90, 491-515. (Pubitemid 39047137)
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  • 15
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    • An algorithm for causal inference in the presence of latent variables and selection bias
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    • Spirtes, P., Meek, C., & Richardson, T. (1999). An algorithm for causal inference in the presence of latent variables and selection bias. In C. Glymour and G. F. Cooper (Eds.), Computation, Causation, and Discovery, 211-252. Cambridge, MA: MIT Press.
    • (1999) Computation, Causation, and Discovery , pp. 211-252
    • Spirtes, P.1    Meek, C.2    Richardson, T.3


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