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Volumn , Issue , 2005, Pages 10-17

Towards characterizing Markov equivalence classes for directed acyclic graphs with latent variables

Author keywords

DAG; Markov equivalence; Maximal ancestral graph

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIRECTED GRAPHS; GRAPHIC METHODS;

EID: 80053158076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (35)

References (15)
  • 1
    • 85131702887 scopus 로고    scopus 로고
    • Markov equivalence classes for maximal ancestral graphs
    • A. Darwiche and N. Friedman (Eds.), San Francisco. Morgan Kaufmann
    • Ali, R. A. and T. Richardson (2002). Markov equivalence classes for maximal ancestral graphs. In A. Darwiche and N. Friedman (Eds.), Uncertainty in Artificial Intelligence: Proceedings of the 18th Conference, San Francisco, pp. 1-8. Morgan Kaufmann.
    • (2002) th Conference , pp. 1-8
    • Ali, R.A.1    Richardson, T.2
  • 5
    • 0031531764 scopus 로고    scopus 로고
    • A characterization of Markov equivalence classes for acyclic digraphs
    • Andersson, S. A., D. Madigan, and M. D. Perlman (1997). A characterization of Markov equivalence classes for acyclic digraphs. Ann. Statist. 25, 505-541.
    • (1997) Ann. Statist. , vol.25 , pp. 505-541
    • Andersson, S.A.1    Madigan, D.2    Perlman, M.D.3
  • 6
    • 0002013121 scopus 로고
    • A transformational characterization of equivalent Bayesian networks
    • P. Besnard and S. Hanks (Eds.), San Mateo, CA. Morgan Kaufmann
    • Chickering, D. (1995). A transformational characterization of equivalent Bayesian networks. In P. Besnard and S. Hanks (Eds.), Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, San Mateo, CA, pp. 87-98. Morgan Kaufmann.
    • (1995) Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence , pp. 87-98
    • Chickering, D.1
  • 8
    • 0001546180 scopus 로고
    • The chain graph Markov property
    • Frydenberg, M. (1990). The chain graph Markov property. Scand. J. Statist. 17, 333-353.
    • (1990) Scand. J. Statist. , vol.17 , pp. 333-353
    • Frydenberg, M.1
  • 9
    • 0036344339 scopus 로고    scopus 로고
    • What can we learn from the path equations?: Identifiability, constraints, equivalence
    • McDonald, R. (2002). What can we learn from the path equations?: identifiability, constraints, equivalence. Psychometrika 67 (2), 225-249.
    • (2002) Psychometrika , vol.67 , Issue.2 , pp. 225-249
    • McDonald, R.1
  • 10
    • 0002753068 scopus 로고
    • Causal inference and causal explanation with background knowledge
    • P. Besnard and S. Hanks (Eds.), San Francisco. Morgan Kaufmann
    • Meek, C. (1995). Causal inference and causal explanation with background knowledge. In P. Besnard and S. Hanks (Eds.), Uncertainty in Artificial Intelligence: Proceedings of the 11th Conference, San Francisco, pp. 403-410. Morgan Kaufmann.
    • (1995) th Conference , pp. 403-410
    • Meek, C.1
  • 11
    • 4143140555 scopus 로고    scopus 로고
    • Causal inference via ancestral graph models
    • P. Green, N. Hjort, and S. Richardson (Eds.). Oxford: Oxford University Press
    • Richardson, T. and P. Spirtes (2003). Causal inference via ancestral graph models. In P. Green, N. Hjort, and S. Richardson (Eds.), Highly Structured Stochastic Systems. Oxford: Oxford University Press.
    • (2003) Highly Structured Stochastic Systems
    • Richardson, T.1    Spirtes, P.2
  • 12
    • 0036392228 scopus 로고    scopus 로고
    • Ancestral graph Markov models
    • DOI 10.1214/aos/1031689015
    • Richardson, T. S. and P. Spirtes (2002). Ancestral graph Markov models. Annals of Statistics 30 (4), 962-1030. (Pubitemid 37095336)
    • (2002) Annals of Statistics , vol.30 , Issue.4 , pp. 962-1030
    • Richardson, T.1    Spirtes, P.2
  • 14
    • 0042112503 scopus 로고    scopus 로고
    • Causal inference in the presence of latent variables and selection bias
    • C. Glymour and G. F. Cooper (Eds.). Cambridge, Mass.: MIT Press
    • Spirtes, P., C. Meek, and T. S. Richardson (1999). Causal inference in the presence of latent variables and selection bias. In C. Glymour and G. F. Cooper (Eds.), Computation, Causality and Discovery, pp. 211-252. Cambridge, Mass.: MIT Press.
    • (1999) Computation, Causality and Discovery , pp. 211-252
    • Spirtes, P.1    Meek, C.2    Richardson, T.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.