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Volumn , Issue , 2010, Pages 303-308

A unified approach to estimation and control of the false discovery rate in bayesian network skeleton identification

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT-BASED; FALSE DISCOVERY RATE; FALSE POSITIVE RATES; STRUCTURE LEARNING ALGORITHM; UNIFIED APPROACH;

EID: 84887085341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (9)
  • 2
    • 61749097205 scopus 로고    scopus 로고
    • Controlling the false discovery rate of the association/causality structure learned with the pc algorithm
    • J. Li and Z. J. Wang. Controlling the false discovery rate of the association/causality structure learned with the pc algorithm. J. Mach. Learn. Res., 10:475-514, 2009.
    • (2009) J. Mach. Learn. Res , vol.10 , pp. 475-514
    • Li, J.1    Wang, Z.J.2
  • 3
    • 1142273091 scopus 로고    scopus 로고
    • Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach
    • J.D. Storey, J.E. Taylor, and D. Siegmund. Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66(1):187-205, 2004.
    • (2004) Journal of the Royal Statistical Society: Series B (Statistical Methodology) , vol.66 , Issue.1 , pp. 187-205
    • Storey, J.D.1    Taylor, J.E.2    Siegmund, D.3
  • 5
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing bayesian network structure learning algorithm
    • I. Tsamardinos, L. E. Brown, and C. F. Aliferis. The max-min hill-climbing bayesian network structure learning algorithm. Machine Learning Journal, 65:31-78, 2006.
    • (2006) Machine Learning Journal , vol.65 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.F.3
  • 7
    • 0035733108 scopus 로고    scopus 로고
    • The control of the false discovery rate in multiple testing under dependency
    • Y. Benjamini and D. Yekutieli. The control of the false discovery rate in multiple testing under dependency. Annals of statistics, pages 1165-1188, 2001.
    • (2001) Annals of Statistics , pp. 1165-1188
    • Benjamini, Y.1    Yekutieli, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.