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Volumn 15, Issue , 2011, Pages 407-415

On time varying undirected graphs

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION DOMAINS; COMPLEX DYNAMICS; GRAPH STRUCTURES; GRAPHICAL MODEL; HIGH-DIMENSIONAL; MODEL SELECTION; MULTIVARIATE GAUSSIAN DISTRIBUTIONS; SAMPLE SIZES; SCIENTIFIC DISCOVERY; SELECTION PROCEDURES; STATISTICAL FRAMEWORK; TECHNICAL CONDITIONS; TIME VARYING; UNDIRECTED GRAPH;

EID: 84862284270     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (30)
  • 1
    • 41549101939 scopus 로고    scopus 로고
    • Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data
    • ISSN 1533-7928
    • Onureena Banerjee, Laurent El Ghaoui, and Alexandre d'Aspremont. Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data. J. Mach. Learn. Res., 9: 485-516, 2008. ISSN 1533-7928.
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 485-516
    • Banerjee, O.1    El Ghaoui, L.2    D'aspremont, A.3
  • 2
    • 79954629336 scopus 로고    scopus 로고
    • Selection of variables and dimension reduction in high-dimensional non-parametric regression
    • doi: 10.1214/08-EJS327
    • Karine Bertin and Guillaume Lecué. Selection of variables and dimension reduction in high-dimensional non-parametric regression. Electronic Journal of Statistics, 2:1224-1241, 2008. doi: 10.1214/08-EJS327.
    • (2008) Electronic Journal of Statistics , vol.2 , pp. 1224-1241
    • Bertin, K.1    Lecué, G.2
  • 3
    • 33745156863 scopus 로고    scopus 로고
    • Some theory for Fisher's linear discriminant function,'naive Bayes', and some alternatives when there are many more variables than observations
    • P.J. Bickel and E. Levina. Some theory for Fisher's linear discriminant function,'naive Bayes', and some alternatives when there are many more variables than observations. Bernoulli, 10(6):989-1010, 2004.
    • (2004) Bernoulli , vol.10 , Issue.6 , pp. 989-1010
    • Bickel, P.J.1    Levina, E.2
  • 4
    • 0030344230 scopus 로고    scopus 로고
    • Heuristics of instability and stabilization in model selection
    • ISSN 00905364
    • Leo Breiman. Heuristics of instability and stabilization in model selection. Annals of Statistics, 24(6):2350-2383, 1996. ISSN 00905364.
    • (1996) Annals of Statistics , vol.24 , Issue.6 , pp. 2350-2383
    • Breiman, L.1
  • 6
    • 0001038826 scopus 로고
    • Covariance selection
    • ISSN 0006341X
    • A. P. Dempster. Covariance selection. Biometrics, 28 (1):157-175, 1972. ISSN 0006341X.
    • (1972) Biometrics , vol.28 , Issue.1 , pp. 157-175
    • Dempster, A.P.1
  • 9
    • 73949117731 scopus 로고    scopus 로고
    • Network exploration via the adaptive LASSO and SCAD penalties
    • doi: 10.1214/08-AOAS215
    • Jianqing Fan, Yang Feng, and YichaoWu. Network exploration via the adaptive LASSO and SCAD penalties. The Annals of Applied Statistics, 3(2):521-541, 2009. doi: 10.1214/08-AOAS215.
    • (2009) The Annals of Applied Statistics , vol.3 , Issue.2 , pp. 521-541
    • Fan, J.1    Feng, Y.2    Wu, Y.3
  • 10
    • 45849134070 scopus 로고    scopus 로고
    • Sparse inverse covariance estimation with the graphical lasso
    • doi: 10.1093/biostatistics/kxm045
    • Jerome Friedman, Trevor Hastie, and Robert Tibshirani. Sparse inverse covariance estimation with the graphical lasso. Biostat, 9(3):432-441, 2008. doi: 10.1093/biostatistics/kxm045.
    • (2008) Biostat , vol.9 , Issue.3 , pp. 432-441
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 17
    • 42649092921 scopus 로고    scopus 로고
    • A note on the Lasso for graphical Gaussian model selection
    • N. Meinshausen. A note on the Lasso for graphical Gaussian model selection. Statistics and Probability Letters, 78(7):880-884, 2008.
    • (2008) Statistics and Probability Letters , vol.78 , Issue.7 , pp. 880-884
    • Meinshausen, N.1
  • 18
    • 33747163541 scopus 로고    scopus 로고
    • Highdimensional graphs and variable selection with the lasso
    • Nicolai Meinshausen and Peter Bühlmann. Highdimensional graphs and variable selection with the lasso. Annals of Statistics, 34(3):1436-1462, 2006.
    • (2006) Annals of Statistics , vol.34 , Issue.3 , pp. 1436-1462
    • Meinshausen, N.1    Bühlmann, P.2
  • 19
    • 66549116888 scopus 로고    scopus 로고
    • Partial correlation estimation by joint sparse regression models
    • doi: 10.1198/jasa.2009.0126
    • Jie Peng, Pei Wang, Nengfeng Zhou, and Ji Zhu. Partial correlation estimation by joint sparse regression models. Journal of the American Statistical Association, 104(486):735-746, 2009. doi: 10.1198/jasa.2009.0126.
    • (2009) Journal of the American Statistical Association , vol.104 , Issue.486 , pp. 735-746
    • Peng, J.1    Wang, P.2    Zhou, N.3    Zhu, J.4
  • 21
    • 79951750271 scopus 로고    scopus 로고
    • High-dimensional ising model selection using ℓ1 regularized logistic regression
    • to appear
    • P. Ravikumar, M. J. Wainwright, and J. D. Lafferty. High-dimensional ising model selection using ℓ1 regularized logistic regression. Annals of Statistics, to appear, 2009.
    • (2009) Annals of Statistics
    • Ravikumar, P.1    Wainwright, M.J.2    Lafferty, J.D.3
  • 25
    • 77955054299 scopus 로고    scopus 로고
    • On the conditions used to prove oracle results for the lasso
    • doi: 10.1214/09-EJS506
    • Sara A. van de Geer and Peter Bühlmann. On the conditions used to prove oracle results for the lasso. Electronic Journal of Statistics, 3:1360-1392, 2009. doi: 10.1214/09-EJS506.
    • (2009) Electronic Journal of Statistics , vol.3 , pp. 1360-1392
    • Van De Geer, S.A.1    Bühlmann, P.2
  • 26
    • 65749083666 scopus 로고    scopus 로고
    • 1 constrained quadratic programming (lasso)
    • May. ISSN 0018-9448. doi: 10.1109/TIT.2009.2016018
    • Martin J. Wainwright. Sharp thresholds for highdimensional and noisy sparsity recovery using ℓ1 constrained quadratic programming (lasso). IEEE Transactions on Information Theory, 55(5):2183-2202, May 2009. ISSN 0018-9448. doi: 10.1109/TIT.2009.2016018.
    • (2009) IEEE Transactions on Information Theory , vol.55 , Issue.5 , pp. 2183-2202
    • Wainwright, M.J.1
  • 28
    • 33947115409 scopus 로고    scopus 로고
    • Model selection and estimation in the gaussian graphical model
    • March. doi: 10.1093/biomet/asm018
    • Ming Yuan and Yi Lin. Model selection and estimation in the gaussian graphical model. Biometrika, 94(1): 19-35, March 2007. doi: 10.1093/biomet/ asm018.
    • (2007) Biometrika , vol.94 , Issue.1 , pp. 19-35
    • Yuan, M.1    Lin, Y.2
  • 29
    • 33845263263 scopus 로고    scopus 로고
    • On model selection consistency of lasso
    • ISSN 1533-7928
    • Peng Zhao and Bin Yu. On model selection consistency of lasso. J. Mach. Learn. Res., 7:2541-2563, 2006. ISSN 1533-7928.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 2541-2563
    • Zhao, P.1    Yu, B.2
  • 30
    • 84871591999 scopus 로고    scopus 로고
    • Time varying undirected graphs
    • Rocco A. Servedio and Tong Zhang, editors. Omnipress
    • Shuheng Zhou, John Lafferty, and Larry Wasserman. Time varying undirected graphs. In Rocco A. Servedio and Tong Zhang, editors, COLT, pages 455-466. Omnipress, 2008.
    • (2008) COLT , pp. 455-466
    • Zhou, S.1    Lafferty, J.2    Wasserman, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.