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Volumn , Issue , 2006, Pages 195-206

Learning semi-Markovian causal models using experiments

Author keywords

[No Author keywords available]

Indexed keywords

ANCESTRAL GRAPHS; CAUSAL BAYESIAN NETWORK; CAUSAL INFERENCES; CAUSAL MODEL; CAUSAL RELATIONSHIPS; CLASSICAL METHODS; LATENT VARIABLE; MARKOV EQUIVALENCE CLASS; MAXIMAL ANCESTRAL GRAPHS; MODELING PROBLEMS; OBSERVATIONAL DATA; PARAMETRISATION; SET OF RULES; STANDARD ALGORITHMS; STRUCTURE-LEARNING; THEORETICAL STUDY;

EID: 84864208008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 3
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • S. L. Lauritzen and D. J. Spiegelhalter. 1988. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, series B, 50:157-244.
    • (1988) Journal of the Royal Statistical Society, Series B , vol.50 , pp. 157-244
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 8
    • 0011300339 scopus 로고    scopus 로고
    • Technical Report 375, Dept. of Statistics, University of Washington
    • T. Richardson and P. Spirtes. 2002. Ancestral graph Markov models. Technical Report 375, Dept. of Statistics, University of Washington.
    • (2002) Ancestral Graph Markov Models
    • Richardson, T.1    Spirtes, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.