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Volumn 26, Issue 2, 2017, Pages 367-378

High-Dimensional Mixed Graphical Models

Author keywords

Conditional Gaussian density; Graphical model; Group lasso; Mixed variables; Music annotation

Indexed keywords


EID: 85018662555     PISSN: 10618600     EISSN: 15372715     Source Type: Journal    
DOI: 10.1080/10618600.2016.1237362     Document Type: Article
Times cited : (61)

References (40)
  • 2
    • 34548275795 scopus 로고    scopus 로고
    • The Dantzig Selector: Statistical Estimation When p is Much Larger than n
    • Candes, E., and Tao, T., (2007), “The Dantzig Selector:Statistical Estimation When p is Much Larger than n,” Annals of Statistics, 35, 2313–2351.
    • (2007) Annals of Statistics , vol.35 , pp. 2313-2351
    • Candes, E.1    Tao, T.2
  • 3
    • 84933530882 scopus 로고
    • Approximating Discrete Probability Distributions With Dependence Trees
    • Chow, C., and Liu, C., (1968), “Approximating Discrete Probability Distributions With Dependence Trees,” IEEE Transactions on Information Theory, 14, 462–467.
    • (1968) IEEE Transactions on Information Theory , vol.14 , pp. 462-467
    • Chow, C.1    Liu, C.2
  • 6
    • 76949106424 scopus 로고    scopus 로고
    • Selecting High-Dimensional Mixed Graphical Models using Minimal AIC or BIC Forests
    • Edwards, D., De Abreu, G., and Labouriau, R., (2010), “Selecting High-Dimensional Mixed Graphical Models using Minimal AIC or BIC Forests,” BMC Bioinformatics, 11, 18.
    • (2010) BMC Bioinformatics , vol.11
    • Edwards, D.1    De Abreu, G.2    Labouriau, R.3
  • 7
    • 1542784498 scopus 로고    scopus 로고
    • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
    • Fan, J., and Li, R., (2001), “Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties,” Journal of the American Statistical Association, 96, 1348–1360.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 9
    • 45849134070 scopus 로고    scopus 로고
    • Sparse Inverse Covariance Estimation With the Graphical Lasso
    • Friedman, J., Hastie, T., and Tibshirani, R., (2008), “Sparse Inverse Covariance Estimation With the Graphical Lasso,” Biostatistics, 9, 432–441.
    • (2008) Biostatistics , vol.9 , pp. 432-441
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 10
    • 77950537175 scopus 로고    scopus 로고
    • Regularized Paths for Generalized Linear Models via Coordinate Descent
    • Friedman, J., Hastie, T., and Tibshirani, R. (2010), “Regularized Paths for Generalized Linear Models via Coordinate Descent,” Journal of Statistical Software, 33, 1–22.
    • (2010) Journal of Statistical Software , vol.33 , pp. 1-22
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 11
    • 66549109770 scopus 로고    scopus 로고
    • Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-Likelihoods
    • Höfling, H., and Tibshirani, R., (2009), “Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-Likelihoods,” Journal of Machine Learning Research, 10, 883–906.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 883-906
    • Höfling, H.1    Tibshirani, R.2
  • 12
    • 33947716431 scopus 로고
    • Beitrag zur Theorie der Ferromagnetismus
    • Ising, E., (1925), “Beitrag zur Theorie der Ferromagnetismus,” Zeitschrift fur Physik, 31, 253–258.
    • (1925) Zeitschrift fur Physik , vol.31 , pp. 253-258
    • Ising, E.1
  • 15
    • 0002282074 scopus 로고
    • A New Measure of Rank Correlation
    • Kendall, M., (1938), “A New Measure of Rank Correlation,” Biomatrika, 30, 81–89.
    • (1938) Biomatrika , vol.30 , pp. 81-89
    • Kendall, M.1
  • 16
    • 73949122606 scopus 로고    scopus 로고
    • Sparsistency and Rates of Convergence in Large Covariance Matrices Estimation
    • Lam, C., and Fan, J., (2009), “Sparsistency and Rates of Convergence in Large Covariance Matrices Estimation,” Annals of Statistics, 37, 4254–4278.
    • (2009) Annals of Statistics , vol.37 , pp. 4254-4278
    • Lam, C.1    Fan, J.2
  • 17
    • 0004047518 scopus 로고    scopus 로고
    • Oxford: Oxford University Press
    • Lauritzen, S., (1996), Graphical Models, Oxford:Oxford University Press.
    • (1996) Graphical Models
    • Lauritzen, S.1
  • 18
    • 0002480085 scopus 로고
    • Mixed Graphical Association Models
    • Lauritzen, S. L., and Wermuth, N., (1989), “Mixed Graphical Association Models,” Annals of Statistics, 17, 31–57.
    • (1989) Annals of Statistics , vol.17 , pp. 31-57
    • Lauritzen, S.L.1    Wermuth, N.2
  • 20
    • 84875151494 scopus 로고    scopus 로고
    • High Dimensional Semiparametric Gaussian Copula Graphical Models
    • Liu, H., Han, F., Yuan, M., Lafferty, J., and Wasserman, L., (2012), “High Dimensional Semiparametric Gaussian Copula Graphical Models,” Annals of Statistics, 40, 2293–2326.
    • (2012) Annals of Statistics , vol.40 , pp. 2293-2326
    • Liu, H.1    Han, F.2    Yuan, M.3    Lafferty, J.4    Wasserman, L.5
  • 21
    • 70450277253 scopus 로고    scopus 로고
    • The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
    • Liu, H., Lafferty, J., and Wasserman, L., (2009), “The Nonparanormal:Semiparametric Estimation of High Dimensional Undirected Graphs,” Journal of Machine Learning Research, 10, 2295–2328.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2295-2328
    • Liu, H.1    Lafferty, J.2    Wasserman, L.3
  • 23
    • 33747163541 scopus 로고    scopus 로고
    • High Dimensional Graphs and Variable Selection With the Lasso
    • Meinshausen, N., and Bühlmann, P., (2006), “High Dimensional Graphs and Variable Selection With the Lasso,” Annals of Statistics, 34, 1436–1462.
    • (2006) Annals of Statistics , vol.34 , pp. 1436-1462
    • Meinshausen, N.1    Bühlmann, P.2
  • 30
    • 0002965815 scopus 로고
    • The Proof and Measurement of Association between Two Things
    • Spearman, C., (1904), “The Proof and Measurement of Association between Two Things,” American Journal of Psychology, 15, 72–101.
    • (1904) American Journal of Psychology , vol.15 , pp. 72-101
    • Spearman, C.1
  • 34
    • 84873376907 scopus 로고    scopus 로고
    • Regularized Rank-Based Estimation of High-Dimensional Nonparanormal Graphical Models
    • Xue, L., and Zou, H., (2012), “Regularized Rank-Based Estimation of High-Dimensional Nonparanormal Graphical Models,” Annals of Statistics, 40, 2541–2571.
    • (2012) Annals of Statistics , vol.40 , pp. 2541-2571
    • Xue, L.1    Zou, H.2
  • 35
    • 84872080878 scopus 로고    scopus 로고
    • Nonconcave Penalized Composite Conditional Likelihood Estimation of Sparse Ising Models
    • Xue, L., Zou, H., and Cai, T., (2012), “Nonconcave Penalized Composite Conditional Likelihood Estimation of Sparse Ising Models,” Annals of Statistics, 40, 1403–1429.
    • (2012) Annals of Statistics , vol.40 , pp. 1403-1429
    • Xue, L.1    Zou, H.2    Cai, T.3
  • 37
    • 77956916683 scopus 로고    scopus 로고
    • Sparse Inverse Covariance Matrix Estimation via Linear Programming
    • Yuan, M., (2010), “Sparse Inverse Covariance Matrix Estimation via Linear Programming,” Journal of Machine Learning Research, 11, 2261–2286.
    • (2010) Journal of Machine Learning Research , vol.11 , pp. 2261-2286
    • Yuan, M.1
  • 38
    • 33645035051 scopus 로고    scopus 로고
    • Model Selection and Estimation in Regression with Grouped Variables
    • Series B
    • Yuan, M., and Lin, Y., (2006), “Model Selection and Estimation in Regression with Grouped Variables,” Journal of the Royal Statistical Society, Series B, 68, 49–67.
    • (2006) Journal of the Royal Statistical Society , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 39
    • 33947115409 scopus 로고    scopus 로고
    • Model Selection and Estimation in the Gaussian Graphical Model
    • Yuan, M., and Lin, Y. (2007), “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
  • 40
    • 69949155103 scopus 로고    scopus 로고
    • The Composite Absolute Penalties Family for Grouped and Hierarchical Variable Selection
    • Zhao, P., Rocha, G., and Yu, B., (2009), “The Composite Absolute Penalties Family for Grouped and Hierarchical Variable Selection,” The Annals of Statistics, 37, 3468–3497.
    • (2009) The Annals of Statistics , vol.37 , pp. 3468-3497
    • Zhao, P.1    Rocha, G.2    Yu, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.