-
1
-
-
84877901545
-
Eigenvalue ratio test for the number of factors
-
Ahn, S. C. and A. R. Horenstein (2013). Eigenvalue ratio test for the number of factors. Econometrica 81, 1203-27.
-
(2013)
Econometrica
, vol.81
, pp. 1203-1227
-
-
Ahn, S.C.1
Horenstein, A.R.2
-
2
-
-
34548536094
-
The high-dimension, low-sample-size geometric representation holds under mild conditions
-
Ahn, J., J. Marron, K. M. Muller and Y-Y. Chi (2007). The high-dimension, low-sample-size geometric representation holds under mild conditions. Biometrika 94, 760-6.
-
(2007)
Biometrika
, vol.94
, pp. 760-766
-
-
Ahn, J.1
Marron, J.2
Muller, K.M.3
Chi, Y.-Y.4
-
4
-
-
77958467466
-
Improved penalization for determining the number of factors in approximate factor models
-
Alessi, L., M. Barigozzi and M. Capasso (2010). Improved penalization for determining the number of factors in approximate factor models. Statistics and Probability Letters 80, 1806-13.
-
(2010)
Statistics and Probability Letters
, vol.80
, pp. 1806-1813
-
-
Alessi, L.1
Barigozzi, M.2
Capasso, M.3
-
8
-
-
0037277111
-
Inferential theory for factor models of large dimensions
-
Bai, J. (2003). Inferential theory for factor models of large dimensions. Econometrica 71, 135-71.
-
(2003)
Econometrica
, vol.71
, pp. 135-171
-
-
Bai, J.1
-
9
-
-
84871198733
-
Statistical analysis of factor models of high dimension
-
Bai, J. and K. Li (2012). Statistical analysis of factor models of high dimension. Annals of Statistics 40, 436-65.
-
(2012)
Annals of Statistics
, vol.40
, pp. 436-465
-
-
Bai, J.1
Li, K.2
-
10
-
-
0036221554
-
Determining the number of factors in approximate factor models
-
Bai, J. and S. Ng (2002). Determining the number of factors in approximate factor models. Econometrica 70, 191-221.
-
(2002)
Econometrica
, vol.70
, pp. 191-221
-
-
Bai, J.1
Ng, S.2
-
11
-
-
41549101939
-
Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
-
Banerjee, O., L. El Ghaoui and A. d'Aspremont (2008). Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. Journal of Machine Learning Research 9, 485-516.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 485-516
-
-
Banerjee, O.1
Ghaoui, L.E.2
d'Aspremont, A.3
-
12
-
-
62349112885
-
Covariance regularization by thresholding
-
Bickel, P. and E. Levina (2008). Covariance regularization by thresholding. Annals of Statistics 36, 2577-604.
-
(2008)
Annals of Statistics
, vol.36
, pp. 2577-2604
-
-
Bickel, P.1
Levina, E.2
-
13
-
-
68649086910
-
Simultaneous analysis of Lasso and Dantzig selector
-
Bickel, P. J., Y. Ritov and A. B. Tsybakov (2009). Simultaneous analysis of Lasso and Dantzig selector. Annals of Statistics 37, 1705-32.
-
(2009)
Annals of Statistics
, vol.37
, pp. 1705-1732
-
-
Bickel, P.J.1
Ritov, Y.2
Tsybakov, A.B.3
-
15
-
-
33646162895
-
Are more data always better for factor analysis
-
Boivin, J. and S. Ng (2006). Are more data always better for factor analysis? Journal of Econometrics 132, 169-94.
-
(2006)
Journal of Econometrics
, vol.132
, pp. 169-194
-
-
Boivin, J.1
Ng, S.2
-
17
-
-
79960133776
-
Adaptive thresholding for sparse covariance matrix estimation
-
Cai, T. and W. Liu (2011). Adaptive thresholding for sparse covariance matrix estimation. Journal of the American Statistical Association 106, 672-84.
-
(2011)
Journal of the American Statistical Association
, vol.106
, pp. 672-684
-
-
Cai, T.1
Liu, W.2
-
18
-
-
84861177057
-
Optimal rates of convergence for sparse covariance matrix estimation
-
Cai, T. and H. Zhou (2012). Optimal rates of convergence for sparse covariance matrix estimation. Annals of Statistics 40, 2389-420.
-
(2012)
Annals of Statistics
, vol.40
, pp. 2389-2420
-
-
Cai, T.1
Zhou, H.2
-
20
-
-
84891928504
-
Sparse PCA: optimal rates and adaptive estimation
-
Cai, T., Z. Ma and Y. Wu (2013). Sparse PCA: optimal rates and adaptive estimation. Annals of Statistics 41, 3074-110.
-
(2013)
Annals of Statistics
, vol.41
, pp. 3074-3110
-
-
Cai, T.1
Ma, Z.2
Wu, Y.3
-
22
-
-
34548275795
-
The Dantzig selector: statistical estimation when p is much larger than n
-
Candès, E. and T. Tao (2007). The Dantzig selector: statistical estimation when p is much larger than n. Annals of Statistics 35, 2313-51.
-
(2007)
Annals of Statistics
, vol.35
, pp. 2313-2351
-
-
Candès, E.1
Tao, T.2
-
25
-
-
0000915180
-
Arbitrage, factor structure, and mean-variance analysis on large asset markets
-
Chamberlain, G. and M. Rothschild (1983). Arbitrage, factor structure, and mean-variance analysis on large asset markets. Econometrica 51, 1281-304.
-
(1983)
Econometrica
, vol.51
, pp. 1281-1304
-
-
Chamberlain, G.1
Rothschild, M.2
-
26
-
-
84859117004
-
Efficient estimation of factor models
-
Choi, I. (2012). Efficient estimation of factor models. Econometric Theory 28, 274-308.
-
(2012)
Econometric Theory
, vol.28
, pp. 274-308
-
-
Choi, I.1
-
27
-
-
35548970719
-
Semiparametric estimation of a characteristic-based factor model of stock returns
-
Connor, G. and L. Oliver (2007). Semiparametric estimation of a characteristic-based factor model of stock returns. Journal of Empirical Finance 14, 694-717.
-
(2007)
Journal of Empirical Finance
, vol.14
, pp. 694-717
-
-
Connor, G.1
Oliver, L.2
-
28
-
-
84858597462
-
Efficient semiparametric estimation of the Fama-French model and extensions
-
Connor, G., H. Matthias and L. Oliver (2012). Efficient semiparametric estimation of the Fama-French model and extensions. Econometrica 80, 713-54.
-
(2012)
Econometrica
, vol.80
, pp. 713-754
-
-
Connor, G.1
Matthias, H.2
Oliver, L.3
-
30
-
-
0000742672
-
Wavelet shrinkage: asymptopia? (with discussion)
-
Series B
-
Donoho, D. L., I. M. Johnstone, G. Kerkyacharian and D. Picard (1995). Wavelet shrinkage: asymptopia? (with discussion). Journal of the Royal Statistical Society, Series B 57, 301-69.
-
(1995)
Journal of the Royal Statistical Society
, vol.57
, pp. 301-369
-
-
Donoho, D.L.1
Johnstone, I.M.2
Kerkyacharian, G.3
Picard, D.4
-
31
-
-
84871575482
-
A quasi-maximum likelihood approach for large, approximate dynamic factor models
-
Doz, C., D. Giannone and L. Reichlin (2012). A quasi-maximum likelihood approach for large, approximate dynamic factor models. Review of Economics and Statistics 94, 1014-24.
-
(2012)
Review of Economics and Statistics
, vol.94
, pp. 1014-1024
-
-
Doz, C.1
Giannone, D.2
Reichlin, L.3
-
32
-
-
78650151035
-
High-dimensionality effects in the markowitz problem and other quadratic programs with linear constraints: risk underestimation
-
El Karoui, N. (2010). High-dimensionality effects in the markowitz problem and other quadratic programs with linear constraints: risk underestimation. Annals of Statistics 38, 3487-566.
-
(2010)
Annals of Statistics
, vol.38
, pp. 3487-3566
-
-
El Karoui, N.1
-
33
-
-
84977737676
-
The cross-section of expected stock returns
-
Fama, E. and K. French (1992). The cross-section of expected stock returns. Journal of Finance 47, 427-65.
-
(1992)
Journal of Finance
, vol.47
, pp. 427-465
-
-
Fama, E.1
French, K.2
-
34
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
Fan, J. and R. Li (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association 96, 1348-60.
-
(2001)
Journal of the American Statistical Association
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
35
-
-
84879554959
-
Statistical analysis of big data on pharmacogenomics
-
Fan, J. and H. Liu (2013). Statistical analysis of big data on pharmacogenomics. Advanced Drug Delivery Reviews 65, 987-1000.
-
(2013)
Advanced Drug Delivery Reviews
, vol.65
, pp. 987-1000
-
-
Fan, J.1
Liu, H.2
-
36
-
-
24344502730
-
Nonconcave penalized likelihood with a diverging number of parameters
-
Fan, J. and H. Peng (2004). Nonconcave penalized likelihood with a diverging number of parameters. Annals of Statistics 32, 928-61.
-
(2004)
Annals of Statistics
, vol.32
, pp. 928-961
-
-
Fan, J.1
Peng, H.2
-
37
-
-
55349144848
-
High dimensional covariance matrix estimation using a factor model
-
Fan, J., Y. Fan and J. Lv (2008). High dimensional covariance matrix estimation using a factor model. Journal of Econometrics 147, 186-97.
-
(2008)
Journal of Econometrics
, vol.147
, pp. 186-197
-
-
Fan, J.1
Fan, Y.2
Lv, J.3
-
38
-
-
73949117731
-
Network exploration via the adaptive LASSO and SCAD penalties
-
Fan, J., Y. Feng and Y. Wu (2009). Network exploration via the adaptive LASSO and SCAD penalties. Annals of Applied Statistics 3, 521-41.
-
(2009)
Annals of Applied Statistics
, vol.3
, pp. 521-541
-
-
Fan, J.1
Feng, Y.2
Wu, Y.3
-
39
-
-
84906280924
-
High dimensional covariance matrix estimation in approximate factor models
-
Fan, J., Y. Liao and M. Mincheva (2011). High dimensional covariance matrix estimation in approximate factor models. Annals of Statistics 39, 3320-56.
-
(2011)
Annals of Statistics
, vol.39
, pp. 3320-3356
-
-
Fan, J.1
Liao, Y.2
Mincheva, M.3
-
41
-
-
84881566884
-
Large covariance estimation by thresholding principal orthogonal complements (with discussion)
-
Series B
-
Fan, J., Y. Liao and M. Mincheva (2013). Large covariance estimation by thresholding principal orthogonal complements (with discussion). Journal of the Royal Statistical Society, Series B 75, 603-80.
-
(2013)
Journal of the Royal Statistical Society
, vol.75
, pp. 603-680
-
-
Fan, J.1
Liao, Y.2
Mincheva, M.3
-
44
-
-
85007548382
-
Estimation of high-dimensional mean regression in absence of symmetry and light-tail assumptions
-
Forthcoming in, Series B.
-
Fan, J., Q. Li and Y. Wang (2016a). Estimation of high-dimensional mean regression in absence of symmetry and light-tail assumptions. Forthcoming in Journal of Royal Statistical Society, Series B.
-
(2016)
Journal of Royal Statistical Society
-
-
Fan, J.1
Li, Q.2
Wang, Y.3
-
45
-
-
85013178156
-
Projected principal component analysis in factor models
-
Fan, J., Y. Liao and W. Wang (2016b). Projected principal component analysis in factor models. Annals of Statistics 44, 219-54.
-
(2016)
Annals of Statistics
, vol.44
, pp. 219-254
-
-
Fan, J.1
Liao, Y.2
Wang, W.3
-
47
-
-
0035634831
-
The generalized dynamic factor model: representation theory
-
Forni, M. and M. Lippi (2001). The generalized dynamic factor model: representation theory. Econometric Theory 17, 1113-41.
-
(2001)
Econometric Theory
, vol.17
, pp. 1113-1141
-
-
Forni, M.1
Lippi, M.2
-
48
-
-
0034364595
-
The generalized dynamic-factor model: identification and estimation
-
Forni, M., M. Hallin, M. Lippi and L. Reichlin (2000). The generalized dynamic-factor model: identification and estimation. Review of Economics and Statistics 82, 540-54.
-
(2000)
Review of Economics and Statistics
, vol.82
, pp. 540-554
-
-
Forni, M.1
Hallin, M.2
Lippi, M.3
Reichlin, L.4
-
50
-
-
45849134070
-
Sparse inverse covariance estimation with the graphical Lasso
-
Friedman, J., T. Hastie and R. Tibshirani (2008). Sparse inverse covariance estimation with the graphical Lasso. Biostatistics 9, 432-41.
-
(2008)
Biostatistics
, vol.9
, pp. 432-441
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
52
-
-
34250778808
-
Determining the number of factors in the general dynamic factor model
-
Hallin, M. and R. Liška (2007). Determining the number of factors in the general dynamic factor model. Journal of the American Statistical Association 102, 603-17.
-
(2007)
Journal of the American Statistical Association
, vol.102
, pp. 603-617
-
-
Hallin, M.1
Liška, R.2
-
53
-
-
43249101438
-
CAPM and option pricing with elliptically contoured distributions
-
Hamada, M. and E. A. Valdez (2008). CAPM and option pricing with elliptically contoured distributions. Journal of Risk and Insurance 75, 387-409.
-
(2008)
Journal of Risk and Insurance
, vol.75
, pp. 387-409
-
-
Hamada, M.1
Valdez, E.A.2
-
55
-
-
0035641726
-
On the distribution of the largest eigenvalue in principal components analysis
-
Johnstone, I. M. (2001). On the distribution of the largest eigenvalue in principal components analysis. Annals of Statistics 29, 295-327.
-
(2001)
Annals of Statistics
, vol.29
, pp. 295-327
-
-
Johnstone, I.M.1
-
56
-
-
70249103304
-
PCA consistency in high dimension, low sample size context
-
Jung, S. and J. Marron (2009). PCA consistency in high dimension, low sample size context. Annals of Statistics 37, 4104-30.
-
(2009)
Annals of Statistics
, vol.37
, pp. 4104-4130
-
-
Jung, S.1
Marron, J.2
-
57
-
-
78649393421
-
A testing procedure for determining the number of factors in approximate factor models with large datasets
-
Kapetanios, G. (2010). A testing procedure for determining the number of factors in approximate factor models with large datasets. Journal of Business and Economic Statistics 28, 397-409.
-
(2010)
Journal of Business and Economic Statistics
, vol.28
, pp. 397-409
-
-
Kapetanios, G.1
-
58
-
-
82655171609
-
Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
-
Koltchinskii, V., K. Lounici and A. B. Tsybakov (2011). Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion. Annals of Statistics 39, 2302-29.
-
(2011)
Annals of Statistics
, vol.39
, pp. 2302-2329
-
-
Koltchinskii, V.1
Lounici, K.2
Tsybakov, A.B.3
-
59
-
-
73949122606
-
Sparsistency and rates of convergence in large covariance matrix estimation
-
Lam, C. and J. Fan (2009). Sparsistency and rates of convergence in large covariance matrix estimation. Annals of Statistics 37, 4254-78.
-
(2009)
Annals of Statistics
, vol.37
, pp. 4254-4278
-
-
Lam, C.1
Fan, J.2
-
60
-
-
84872040116
-
Factor modeling for high-dimensional time series: inference for the number of factors
-
Lam, C. and Q. Yao (2012). Factor modeling for high-dimensional time series: inference for the number of factors. Annals of Statistics 40, 694-726.
-
(2012)
Annals of Statistics
, vol.40
, pp. 694-726
-
-
Lam, C.1
Yao, Q.2
-
63
-
-
0041841552
-
Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
-
Ledoit, O. and M. Wolf (2003). Improved estimation of the covariance matrix of stock returns with an application to portfolio selection. Journal of Empirical Finance 10, 603-21.
-
(2003)
Journal of Empirical Finance
, vol.10
, pp. 603-621
-
-
Ledoit, O.1
Wolf, M.2
-
64
-
-
0346961488
-
A well-conditioned estimator for large-dimensional covariance matrices
-
Ledoit, O. and M. Wolf (2004). A well-conditioned estimator for large-dimensional covariance matrices. Journal of Multivariate Analysis 88, 365-411.
-
(2004)
Journal of Multivariate Analysis
, vol.88
, pp. 365-411
-
-
Ledoit, O.1
Wolf, M.2
-
67
-
-
84875151494
-
High-dimensional semiparametric Gaussian copula graphical models
-
Liu, H., F. Han, M. Yuan, J. Lafferty and L. Wasserman (2012). High-dimensional semiparametric Gaussian copula graphical models. Annals of Statistics 40, 2293-326.
-
(2012)
Annals of Statistics
, vol.40
, pp. 2293-2326
-
-
Liu, H.1
Han, F.2
Yuan, M.3
Lafferty, J.4
Wasserman, L.5
-
69
-
-
84877623616
-
Sparse principal component analysis and iterative thresholding
-
Ma, Z. (2013). Sparse principal component analysis and iterative thresholding. Annals of Statistics 41, 772-801.
-
(2013)
Annals of Statistics
, vol.41
, pp. 772-801
-
-
Ma, Z.1
-
70
-
-
33747163541
-
High dimensional graphs and variable selection with the Lasso
-
Meinshausen, N. and P. Bühlmann (2006). High dimensional graphs and variable selection with the Lasso. Annals of Statistics 34, 1436-62.
-
(2006)
Annals of Statistics
, vol.34
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
72
-
-
79952934740
-
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
-
Negahban, S. and M. J. Wainwright (2011). Estimation of (near) low-rank matrices with noise and high-dimensional scaling. Annals of Statistics 39, 1069-97.
-
(2011)
Annals of Statistics
, vol.39
, pp. 1069-1097
-
-
Negahban, S.1
Wainwright, M.J.2
-
73
-
-
84860588430
-
Asymptotics of the principal components estimator of large factor models with weakly influential factors
-
Onatski, A. (2012). Asymptotics of the principal components estimator of large factor models with weakly influential factors. Journal of Econometrics 168, 244-58.
-
(2012)
Journal of Econometrics
, vol.168
, pp. 244-258
-
-
Onatski, A.1
-
74
-
-
0000557004
-
On the class of elliptical distributions and their applications to the theory of portfolio choice
-
Owen, J. and R. Rabinovitch (1983). On the class of elliptical distributions and their applications to the theory of portfolio choice. Journal of Finance 38, 745-52.
-
(1983)
Journal of Finance
, vol.38
, pp. 745-752
-
-
Owen, J.1
Rabinovitch, R.2
-
75
-
-
63149145620
-
Time series modelling with semiparametric factor dynamics
-
Park, B. U., E. Mammen, W. Härdle and S. Borak (2009). Time series modelling with semiparametric factor dynamics. Journal of the American Statistical Association 104, 284-98.
-
(2009)
Journal of the American Statistical Association
, vol.104
, pp. 284-298
-
-
Park, B.U.1
Mammen, E.2
Härdle, W.3
Borak, S.4
-
76
-
-
38549175880
-
Asymptotics of sample eigenstructure for a large dimensional spiked covariance model
-
Paul, D. (2007). Asymptotics of sample eigenstructure for a large dimensional spiked covariance model. Statistica Sinica 17, 1617-42.
-
(2007)
Statistica Sinica
, vol.17
, pp. 1617-1642
-
-
Paul, D.1
-
78
-
-
34247364678
-
A quadratically convergent Newton method for computing the nearest correlation matrix
-
Qi, H. and D. Sun (2006). A quadratically convergent Newton method for computing the nearest correlation matrix. SIAM Journal on Matrix Analysis and Applications 28, 360-85.
-
(2006)
SIAM Journal on Matrix Analysis and Applications
, vol.28
, pp. 360-385
-
-
Qi, H.1
Sun, D.2
-
79
-
-
84965000519
-
-
Working Paper, Department of Operations Research and Financial Engineering, Princeton University (arXiv:1205.1210).
-
Rigollet, P. and A. Tsybakov (2012). Estimation of covariance matrices under sparsity constraints. Working Paper, Department of Operations Research and Financial Engineering, Princeton University (arXiv:1205.1210).
-
(2012)
Estimation of covariance matrices under sparsity constraints.
-
-
Rigollet, P.1
Tsybakov, A.2
-
80
-
-
62349119614
-
Sparse permutation invariant covariance estimation
-
Rothman, A. J., P. J. Bickel, E. Levina and J. Zhu (2008). Sparse permutation invariant covariance estimation. Electronic Journal of Statistics 2, 494-515.
-
(2008)
Electronic Journal of Statistics
, vol.2
, pp. 494-515
-
-
Rothman, A.J.1
Bickel, P.J.2
Levina, E.3
Zhu, J.4
-
83
-
-
84869784137
-
Consistency of sparse PCA in high dimension, low sample size contexts
-
Shen, D., H. Shen and J. Marron (2013a). Consistency of sparse PCA in high dimension, low sample size contexts. Journal of Multivariate Analysis 115, 317-33.
-
(2013)
Journal of Multivariate Analysis
, vol.115
, pp. 317-333
-
-
Shen, D.1
Shen, H.2
Marron, J.3
-
85
-
-
84901768116
-
Generalized dynamic semi-parametric factor models for high-dimensional non-stationary time series
-
Song, S., W. K. Härdle and Y. Ritov (2014). Generalized dynamic semi-parametric factor models for high-dimensional non-stationary time series. Econometrics Journal 17, S101-S131.
-
(2014)
Econometrics Journal
, vol.17
, pp. S101-S131
-
-
Song, S.1
Härdle, W.K.2
Ritov, Y.3
-
86
-
-
0036970448
-
Forecasting using principal components from a large number of predictors
-
Stock, J. H. and M. W. Watson (2002). Forecasting using principal components from a large number of predictors. Journal of the American Statistical Association 97, 1167-79.
-
(2002)
Journal of the American Statistical Association
, vol.97
, pp. 1167-1179
-
-
Stock, J.H.1
Watson, M.W.2
-
87
-
-
0003882610
-
-
New York, NY: Springer.
-
Stoer, J., R. Bulirsch, R. Bartels, W. Gautschi and C. Witzgall (1993). Introduction to Numerical Analysis, Volume 2. New York, NY: Springer.
-
(1993)
Introduction to Numerical Analysis
, vol.2
-
-
Stoer, J.1
Bulirsch, R.2
Bartels, R.3
Gautschi, W.4
Witzgall, C.5
-
89
-
-
84859617938
-
-
Working Paper, Columbia University.
-
Tokuda, T., B. Goodrich, I. Van Mechelen, A. Gelman and F. Tuerlinckx (2011). Visualizing distributions of covariance matrices. Working Paper, Columbia University.
-
(2011)
Visualizing distributions of covariance matrices.
-
-
Tokuda, T.1
Goodrich, B.2
Van Mechelen, I.3
Gelman, A.4
Tuerlinckx, F.5
-
92
-
-
84938533326
-
Introduction to the non-asymptotic analysis of random matrices
-
In Y. C. Eldar and G. Kutyniok (Eds.), Cambridge: Cambridge University Press.
-
Vershynin, R. (2012). Introduction to the non-asymptotic analysis of random matrices. In Y. C. Eldar and G. Kutyniok (Eds.), Compressed Sensing, Theory and Applications, 210-68. Cambridge: Cambridge University Press.
-
(2012)
Compressed Sensing, Theory and Applications
, pp. 210-268
-
-
Vershynin, R.1
-
94
-
-
77649317617
-
Vast volatility matrix estimation for high-frequency financial data
-
Wang, Y. and J. Zou (2010). Vast volatility matrix estimation for high-frequency financial data. Annals of Statistics 38, 943-78.
-
(2010)
Annals of Statistics
, vol.38
, pp. 943-978
-
-
Wang, Y.1
Zou, J.2
-
96
-
-
22044448669
-
Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana
-
Wille, A., P. Zimmermann, E. Vranová, A. Fürholz, O. Laule, S. Bleuler, L. Hennig, A. Prelić, P. von Rohr, L. Thiele, E. Zitzler, W. Gruissem and P. Bühlmann (2004). Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana. Genome Biology 5: R92.
-
(2004)
Genome Biology
, vol.5
, pp. R92
-
-
Wille, A.1
Zimmermann, P.2
Vranová, E.3
Fürholz, A.4
Laule, O.5
Bleuler, S.6
Hennig, L.7
Prelić, A.8
von Rohr, P.9
Thiele, L.10
Zitzler, E.11
Gruissem, W.12
Bühlmann, P.13
-
97
-
-
3843104546
-
Nonparametric estimation of large covariance matrices of longitudinal data
-
Wu, W. B. and M. Pourahmadi (2003). Nonparametric estimation of large covariance matrices of longitudinal data. Biometrika 90, 831-44.
-
(2003)
Biometrika
, vol.90
, pp. 831-844
-
-
Wu, W.B.1
Pourahmadi, M.2
-
98
-
-
84873376907
-
Regularized rank-based estimation of high-dimensional nonparanormal graphical models
-
Xue, L. and H. Zou (2012). Regularized rank-based estimation of high-dimensional nonparanormal graphical models. Annals of Statistics 40, 2541-71.
-
(2012)
Annals of Statistics
, vol.40
, pp. 2541-2571
-
-
Xue, L.1
Zou, H.2
-
99
-
-
77956916683
-
High dimensional inverse covariance matrix estimation via linear programming
-
Yuan, M. (2010). High dimensional inverse covariance matrix estimation via linear programming. Journal of Machine Learning Research 11, 2261-86.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 2261-2286
-
-
Yuan, M.1
-
100
-
-
33947115409
-
Model selection and estimation in the Gaussian graphical model
-
Yuan, M. and Y. Lin (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
-
101
-
-
77649284492
-
Nearly unbiased variable selection under minimax concave penalty
-
Zhang, C.-H. (2010). Nearly unbiased variable selection under minimax concave penalty. Annals of Statistics 38, 894-942.
-
(2010)
Annals of Statistics
, vol.38
, pp. 894-942
-
-
Zhang, C.-H.1
-
102
-
-
84912119612
-
Calibrated precision matrix estimation for high-dimensional elliptical distributions
-
Zhao, T. and H. Liu (2014). Calibrated precision matrix estimation for high-dimensional elliptical distributions. IEEE Transactions on Information Theory 60, 7874-87.
-
(2014)
IEEE Transactions on Information Theory
, vol.60
, pp. 7874-7887
-
-
Zhao, T.1
Liu, H.2
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