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Volumn 17, Issue 4, 2009, Pages 809-826

Efficient computation of ℓ 1 regularized estimates in gaussian graphical models

Author keywords

Graphgarrote; GraphLasso; Solution path

Indexed keywords


EID: 64249118378     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/106186008X382692     Document Type: Article
Times cited : (28)

References (19)
  • 2
    • 0001038826 scopus 로고
    • Covariance Selection
    • Dempster, A. P. (1972), "Covariance Selection," Biometrika, 32, 95-108.
    • (1972) Biometrika , vol.32 , pp. 95-108
    • Dempster, A.P.1
  • 3
    • 15944403709 scopus 로고    scopus 로고
    • Model Selection for Gaussian Concentration Graphs
    • Drton, M., and Perlman, M. (2004), "Model Selection for Gaussian Concentration Graphs," Biometrika, 91, 591-602.
    • (2004) Biometrika , vol.91 , pp. 591-602
    • Drton, M.1    Perlman, M.2
  • 7
    • 33645568358 scopus 로고    scopus 로고
    • Gradient Directed Regularization for Sparse Gaussian Concentration Graphs, With Applications to Inference of Genetic Networks
    • Li, H., and Gui, J. (2006), "Gradient Directed Regularization for Sparse Gaussian Concentration Graphs, With Applications to Inference of Genetic Networks," Biostatistcs, 7, 302-317.
    • (2006) Biostatistcs , vol.7 , pp. 302-317
    • Li, H.1    Gui, J.2
  • 9
    • 33747163541 scopus 로고    scopus 로고
    • Consistent Neighbourhood Selection for High-Dimensional Graphs with the Lasso
    • Meinshausen, N., and Buhlmann, P. (2006), "Consistent Neighbourhood Selection for High-Dimensional Graphs with the Lasso," The Annals of Statistics, 34, 1436-1462.
    • (2006) The Annals of Statistics , vol.34 , pp. 1436-1462
    • Meinshausen, N.1    Buhlmann, P.2
  • 18
    • 33947115409 scopus 로고    scopus 로고
    • Model Selection and Estimation in the Gaussian Graphical Model
    • Yuan, M., and Lin, Y (2007a), "Model Selection and Estimation in the Gaussian Graphical Model," Biometrika, 94, 19-35.
    • (2007) Biometrika , vol.94 , pp. 19-35
    • Yuan, M.1    Lin, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.