-
1
-
-
41549101939
-
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
-
[893,895]
-
Banerjee, O., El Ghaoui, L. E., and D'Aspremont, A. (2008), "Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data, " Journal of Machine Learning Research, 9, 485-516. [893,895]
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 485-516
-
-
Banerjee, O.1
El Ghaoui, L.E.2
D'Aspremont, A.3
-
2
-
-
0004055894
-
-
Cambridge, U.K.: Cambridge University Press. [893]
-
Boyd, S., and Vandenberghe, L. (2004), Convex Optimization, Cambridge, U.K.: Cambridge University Press. [893]
-
(2004)
Convex Optimization
-
-
Boyd, S.1
Vandenberghe, L.2
-
3
-
-
61849097176
-
First-Order Methods for Sparse Covariance Selection
-
[893]
-
D'Aspremont, A., Banerjee, O., and El Ghaoui, L. (2008), "First-Order Methods for Sparse Covariance Selection, " SIAM Journal on Matrix Analysis and Applications, 30, 56-66. [893]
-
(2008)
SIAM Journal on Matrix Analysis and Applications
, vol.30
, pp. 56-66
-
-
D'Aspremont, A.1
Banerjee, O.2
El Ghaoui, L.3
-
4
-
-
45849134070
-
Sparse Inverse Covariance Estimation With the Graphical Lasso
-
[893,895,897]
-
Friedman, J., Hastie, T., and Tibshirani, R. (2007), "Sparse Inverse Covariance Estimation With the Graphical Lasso, " Biostatistics, 9, 432-441. [893,895,897]
-
(2007)
Biostatistics
, vol.9
, pp. 432-441
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
5
-
-
84941875975
-
-
R package version 1.4, available at, [897]
-
Friedman, J., Hastie, T., and Tibshirani, R. (2011), "glasso: Graphical Lasso-Estimation of Gaussian Graphical Models, " R package version 1.4, available at cran. r-project. org. [897]
-
(2011)
Glasso: Graphical Lasso-Estimation of Gaussian Graphical Models
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
6
-
-
70450200096
-
Smooth Optimization Approach for Sparse Covariance Selection
-
[893]
-
Lu, Z. (2009), "Smooth Optimization Approach for Sparse Covariance Selection, " SIAM Journal on Optimization, 19, 1807-1827. [893]
-
(2009)
SIAM Journal on Optimization
, vol.19
, pp. 1807-1827
-
-
Lu, Z.1
-
8
-
-
33747163541
-
High-Dimensional Graphs and Variable Selection With the Lasso
-
[897,898]
-
Meinshausen, N., and Bühlmann, P. (2006), "High-Dimensional Graphs and Variable Selection With the Lasso, " The Annals of Statistics, 34, 1436-1462. [897,898]
-
(2006)
The Annals of Statistics
, vol.34
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
9
-
-
79961135005
-
-
R Development Core Team, Vienna, Austria: R Foundation for Statistical Computing. Available at, [897]
-
R Development Core Team (2011), R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing. Available at http://www.R-project.org. [897]
-
(2011)
R: A Language and Environment for Statistical Computing
-
-
-
10
-
-
62349119614
-
Sparse Permutation Invariant Covariance Estimation
-
[893]
-
Rothman, A., Levina, E., and Zhu, J. (2008), "Sparse Permutation Invariant Covariance Estimation, " Electronic Journal of Statistics, 2, 494-515. [893]
-
(2008)
Electronic Journal of Statistics
, vol.2
, pp. 494-515
-
-
Rothman, A.1
Levina, E.2
Zhu, J.3
-
11
-
-
85162024247
-
Sparse Inverse Covariance Selection via Alternating Linearization Methods
-
in, Vancouver, Canada: MIT Press. Available at, [893]
-
Scheinberg, K., Ma, S., and Goldfarb, D. (2010), "Sparse Inverse Covariance Selection via Alternating Linearization Methods, " in Advances in Neural Information Processing Systems, Vancouver, Canada: MIT Press. Available at http:// books.nips.cc/papers/files/ nips23/NIPS2010_0109.pdf. [893]
-
(2010)
Advances in Neural Information Processing Systems
-
-
Scheinberg, K.1
Ma, S.2
Goldfarb, D.3
-
12
-
-
0001287271
-
Regression Shrinkage and Selection via the Lasso
-
[893]
-
Tibshirani, R. (1996), "Regression Shrinkage and Selection via the Lasso, " Journal of the Royal Statistical Society, Ser. B, 58, 267-288. [893]
-
(1996)
Journal of the Royal Statistical Society, Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
14
-
-
33947115409
-
Model Selection and Estimation in the Gaussian Graphical Model
-
[893,897]
-
Yuan, M., and Lin, Y. (2007), "Model Selection and Estimation in the Gaussian Graphical Model, " Biometrika, 94, 19-35. [893,897]
-
(2007)
Biometrika
, vol.94
, pp. 19-35
-
-
Yuan, M.1
Lin, Y.2
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