-
1
-
-
0030500040
-
Smoothing noisy data with tapered coiflets series
-
Antoniadis A. 1996. Smoothing noisy data with tapered coiflets series. Scand. J. Stat. 23:313-30
-
(1996)
Scand. J. Stat.
, vol.23
, pp. 313-330
-
-
Antoniadis, A.1
-
2
-
-
0442312210
-
Regularization of wavelet approximations
-
Antoniadis A, Fan J. 2001. Regularization of wavelet approximations. J. Am. Stat. Assoc. 96:939-67
-
(2001)
J. Am. Stat. Assoc.
, vol.96
, pp. 939-967
-
-
Antoniadis, A.1
Fan, J.2
-
3
-
-
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
-
4
-
-
79953189262
-
Large dimensional factor analysis
-
Bai J, Ng S. 2008. Large dimensional factor analysis. Found. Trends Econom. 3(2):89-163
-
(2008)
Found. Trends Econom.
, vol.3
, Issue.2
, pp. 89-163
-
-
Bai, J.1
Ng, S.2
-
7
-
-
79551613968
-
'1-penalized quantile regression in high-dimensional sparse models
-
Belloni A, Chernozhukov V. 2011. '1-penalized quantile regression in high-dimensional sparse models. Ann. Stat. 39(1):82-130
-
(2011)
Ann. Stat.
, vol.39
, Issue.1
, pp. 82-130
-
-
Belloni, A.1
Chernozhukov, V.2
-
8
-
-
15544377383
-
Measuring the effects of monetary policy: A factor-augmented vector autoregressive (FAVAR) approach
-
DOI 10.1162/0033553053327452
-
Bernanke B, Boivin J, Eliasz PS. 2005. Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. Q. J. Econ. 120(1):387-422 (Pubitemid 40406001)
-
(2005)
Quarterly Journal of Economics
, vol.120
, Issue.1
, pp. 387-422
-
-
Bernanke, B.S.1
Boivin, J.2
Eliasz, P.3
-
9
-
-
77949378683
-
Discussion of "sure independence screening for ultrahigh dimensional feature space"
-
Bickel PJ. 2008. Discussion of "Sure independence screening for ultrahigh dimensional feature space." J. R. Stat. Soc. B 70:883-84
-
(2008)
J. R. Stat. Soc. B
, vol.70
, pp. 883-884
-
-
Bickel, P.J.1
-
10
-
-
41549106844
-
Regularized estimation of large covariance matrices
-
Bickel PJ, Levina E. 2008a. Regularized estimation of large covariance matrices. Ann. Stat. 36:199-227
-
(2008)
Ann. Stat.
, vol.36
, pp. 199-227
-
-
Bickel, P.J.1
Levina, E.2
-
11
-
-
62349112885
-
Covariance regularization by theresholding
-
Bickel PJ, Levina E. 2008b. Covariance regularization by theresholding. Ann. Stat. 36:2577-604
-
(2008)
Ann. Stat.
, vol.36
, pp. 2577-2604
-
-
Bickel, P.J.1
Levina, E.2
-
12
-
-
68649086910
-
Simultaneous analysis of Lasso and Dantzig selector
-
Bickel PJ, Ritov Y, Tsybakov A. 2009. Simultaneous analysis of Lasso and Dantzig selector. Ann. Stat. 37:1705-32
-
(2009)
Ann. Stat.
, vol.37
, pp. 1705-1732
-
-
Bickel, P.J.1
Ritov, Y.2
Tsybakov, A.3
-
13
-
-
79955022769
-
Penalized composite quasi-likelihood for ultrahigh-dimensional variable selection
-
In press
-
Bradic J, Fan J, Wang W. 2011. Penalized composite quasi-likelihood for ultrahigh-dimensional variable selection. J. R. Stat. Soc. B. 73:In press
-
(2011)
J. R. Stat. Soc. B.
, vol.73
-
-
Bradic, J.1
Fan, J.2
Wang, W.3
-
14
-
-
84874257732
-
Better subset regression using the non-negative garrote
-
Breiman L. 1995. Better subset regression using the non-negative garrote. Technometrics 37:373-84
-
(1995)
Technometrics
, vol.37
, pp. 373-384
-
-
Breiman, L.1
-
15
-
-
0030344230
-
Heuristics of instability and stabilization in model selection
-
Breiman L. 1996. Heuristics of instability and stabilization in model selection. Ann. Stat. 24:2350-83
-
(1996)
Ann. Stat.
, vol.24
, pp. 2350-2383
-
-
Breiman, L.1
-
16
-
-
68149147540
-
Sparse and stable Markowitz portfolios
-
Brodie J, Daubechies I, DeMol C, Giannone D, Loris I. 2009. Sparse and stableMarkowitz portfolios. Proc. Natl. Acad. Sci. USA 106(30):12267-72
-
(2009)
Proc. Natl. Acad. Sci. USA
, vol.106
, Issue.30
, pp. 12267-12272
-
-
Brodie, J.1
Daubechies, I.2
Demol, C.3
Giannone, D.4
Loris, I.5
-
17
-
-
77955132618
-
Optimal rates of convergence for covariance matrix estimation
-
Cai T, Zhang C-H, Zhou H. 2010. Optimal rates of convergence for covariance matrix estimation. Ann. Stat. 38:2118-44
-
(2010)
Ann. Stat.
, vol.38
, pp. 2118-2144
-
-
Cai, T.1
Zhang, C.-H.2
Zhou, H.3
-
20
-
-
34548275795
-
The Dantzig selector: Statistical estimation when p is much larger than n
-
Candes E, Tao T. 2007. The Dantzig selector: statistical estimation when p is much larger than n. Ann. Stat. 35:2313-404
-
(2007)
Ann. Stat.
, vol.35
, pp. 2313-2404
-
-
Candes, E.1
Tao, T.2
-
21
-
-
0000915180
-
Funds, factors and diversification in arbitrage pricing theory
-
Chamberlain G. 1983. Funds, factors and diversification in arbitrage pricing theory. Econometrica 51:1305-23
-
(1983)
Econometrica
, vol.51
, pp. 1305-1323
-
-
Chamberlain, G.1
-
22
-
-
0000915180
-
Arbitrage, factor structure, and mean-variance analysis on large asset markets
-
Chamberlain G, RothschildM. 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
-
23
-
-
0004291281
-
-
Princeton, NJ: Princeton Univ. Press. Rev. ed.
-
Cochrane JH. 2005. Asset Pricing. Princeton, NJ: Princeton Univ. Press. Rev. ed.
-
(2005)
Asset Pricing
-
-
Cochrane, J.H.1
-
24
-
-
0000336139
-
Regression models and life-tables
-
Cox DR. 1972. Regression models and life-tables. J. R. Stat. Soc. B 34:187-220
-
(1972)
J. R. Stat. Soc. B
, vol.34
, pp. 187-220
-
-
Cox, D.R.1
-
25
-
-
34250263445
-
Smoothing noisy data with spline functions: Estimating the correct degreeof smoothing by the method of generalized cross-validation
-
Craven P, Wahba G. 1978. Smoothing noisy data with spline functions: estimating the correct degreeof smoothing by the method of generalized cross-validation. Numer. Math. 31(4):377-403
-
(1978)
Numer. Math.
, vol.31
, Issue.4
, pp. 377-403
-
-
Craven, P.1
Wahba, G.2
-
26
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
DOI 10.1002/cpa.20042
-
Daubechies I, Defrise M, De Mol C. 2004. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun. Pure Appl. Math. 57:1413-57 (Pubitemid 39427442)
-
(2004)
Communications on Pure and Applied Mathematics
, vol.57
, Issue.11
, pp. 1413-1457
-
-
Daubechies, I.1
Defrise, M.2
De Mol, C.3
-
27
-
-
67649999044
-
A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms
-
DeMiguel V, Garlappi L, Nogales FJ, Uppal R. 2009. A generalized approach to portfolio optimization: improving performance by constraining portfolio norms. Manage. Sci. 55(5):798-812
-
(2009)
Manage. Sci.
, vol.55
, Issue.5
, pp. 798-812
-
-
Demiguel, V.1
Garlappi, L.2
Nogales, F.J.3
Uppal, R.4
-
28
-
-
33144483155
-
Stable recovery of sparse overcomplete representations in the presence of noise
-
DOI 10.1109/TIT.2005.860430
-
Donoho DL, Elad M, Temlyakov V. 2006. Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inf. Theory 52:6-18 (Pubitemid 43263116)
-
(2006)
IEEE Transactions on Information Theory
, vol.52
, Issue.1
, pp. 6-18
-
-
Donoho, D.L.1
Elad, M.2
Temlyakov, V.N.3
-
31
-
-
3242708140
-
Least angle regression
-
DOI 10.1214/009053604000000067
-
Efron B, Hastie T, Johnstone I, Tibshirani R. 2004. Least angle regression. Ann. Stat. 32:407-99 (Pubitemid 41250302)
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
Ishwaran, H.5
Knight, K.6
Loubes, J.-M.7
Massart, P.8
Madigan, D.9
Ridgeway, G.10
Rosset, S.11
Zhu, J.I.12
Stine, R.A.13
Turlach, B.A.14
Weisberg, S.15
Hastie, T.16
Johnstone, I.17
Tibshirani, R.18
-
32
-
-
62349123505
-
Operator norm consistent estimation of large dimensional sparse covariance matrices
-
El Karoui N. 2008. Operator norm consistent estimation of large dimensional sparse covariance matrices. Ann. Stat. 36:2717-56
-
(2008)
Ann. Stat.
, vol.36
, pp. 2717-2756
-
-
El Karoui, N.1
-
33
-
-
33846470748
-
A one-factor multivariate time series model of metropolitan wage rates
-
Engle RF, Watson MW. 1981. A one-factor multivariate time series model of metropolitan wage rates. J. Am. Stat. Assoc. 76:774-81
-
(1981)
J. Am. Stat. Assoc.
, vol.76
, pp. 774-781
-
-
Engle, R.F.1
Watson, M.W.2
-
34
-
-
84977737676
-
The cross-section of expected stock returns
-
Fama E, French K. 1992. The cross-section of expected stock returns. J. Finance 47:427-65
-
(1992)
J. Finance
, vol.47
, pp. 427-465
-
-
Fama, E.1
French, K.2
-
35
-
-
38549147867
-
Common risk factors in the returns on stocks and bonds
-
Fama E, French K. 1993. Common risk factors in the returns on stocks and bonds. J. Financ. Econ. 33:3-56
-
(1993)
J. Financ. Econ.
, vol.33
, pp. 3-56
-
-
Fama, E.1
French, K.2
-
36
-
-
53849089038
-
High-dimensional classification using features annealed independence rules
-
Fan J, Fan Y. 2008. High-dimensional classification using features annealed independence rules. Ann. Stat. 36:2605-37
-
(2008)
Ann. Stat.
, vol.36
, pp. 2605-2637
-
-
Fan, J.1
Fan, Y.2
-
37
-
-
55349144848
-
High dimensional covariance matrix estimation using a factor model
-
Fan J, Fan Y, Lv J. 2008. High dimensional covariance matrix estimation using a factor model. J. Econom. 147:186-97
-
(2008)
J. Econom.
, vol.147
, pp. 186-197
-
-
Fan, J.1
Fan, Y.2
Lv, J.3
-
38
-
-
79960138168
-
Nonparametric independence screening in sparse ultra-high dimensional additive models
-
In press
-
Fan J, Feng Y, Song R. 2011a. Nonparametric independence screening in sparse ultra-high dimensional additive models. J. Am. Stat. Assoc. In press
-
(2011)
J. Am. Stat. Assoc.
-
-
Fan, J.1
Feng, Y.2
Song, R.3
-
39
-
-
73949117731
-
Network exploration via the adaptive LASSO and SCAD penalties
-
Fan J, Feng Y, Wu Y. 2009a. Network exploration via the adaptive LASSO and SCAD penalties. Ann. Appl. Stat. 3:521-41
-
(2009)
Ann. Appl. Stat.
, vol.3
, pp. 521-541
-
-
Fan, J.1
Feng, Y.2
Wu, Y.3
-
40
-
-
80051777280
-
Variance estimation using refitted cross-validation in ultrahigh dimensional regression
-
In press
-
Fan J, Guo S, Hao N. 2011b. Variance estimation using refitted cross-validation in ultrahigh dimensional regression. J. R. Stat. Soc. In press
-
(2011)
J. R. Stat. Soc.
-
-
Fan, J.1
Guo, S.2
Hao, N.3
-
41
-
-
1542784498
-
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
-
Fan J, Li R. 2001. Variable selection via nonconcave penalized likelihood and its oracle properties. J. Am. Stat. Assoc. 96:1348-60 (Pubitemid 33695585)
-
(2001)
Journal of the American Statistical Association
, vol.96
, Issue.456
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
42
-
-
0036117466
-
Variable selection for Cox's proportional hazards model and frailty model
-
DOI 10.1214/aos/1015362185
-
Fan J, Li R. 2002. Variable selection for Cox's proportional hazards model and frailty model. Ann. Stat. 30:74-99 (Pubitemid 37095369)
-
(2002)
Annals of Statistics
, vol.30
, Issue.1
, pp. 74-99
-
-
Fan, J.1
Li, R.2
-
43
-
-
53849086824
-
Sure independence screening for ultrahigh dimensional feature space
-
Fan J, Lv J. 2008. Sure independence screening for ultrahigh dimensional feature space. J. R. Stat. Soc. B 70:849-911
-
(2008)
J. R. Stat. Soc. B
, vol.70
, pp. 849-911
-
-
Fan, J.1
Lv, J.2
-
44
-
-
79960979995
-
Non-concave penalized likelihood with NP-dimensionality
-
In press
-
Fan J, Lv J. 2011. Non-concave penalized likelihood with NP-dimensionality. IEEE Trans. Inf. Theory. In press
-
(2011)
IEEE Trans. Inf. Theory
-
-
Fan, J.1
Lv, J.2
-
45
-
-
77949352853
-
A selective overview of variable selection in high dimensional feature space
-
Fan J, Lv J. 2010. A selective overview of variable selection in high dimensional feature space. Stat. Sinica 20:101-48
-
(2010)
Stat. Sinica
, vol.20
, pp. 101-148
-
-
Fan, J.1
Lv, J.2
-
46
-
-
24344502730
-
Nonconcave penalized likelihood with a diverging number of parameters
-
DOI 10.1214/009053604000000256
-
Fan J, Peng H. 2004. Nonconcave penalized likelihood with diverging number of parameters. Ann. Stat. 32:928-61 (Pubitemid 41250289)
-
(2004)
Annals of Statistics
, vol.32
, Issue.3
, pp. 928-961
-
-
Fan, J.1
Peng, H.2
-
47
-
-
70449440300
-
Ultrahigh dimensional variable selection: Beyond the linear model
-
Fan J, Samworth R, Wu Y. 2009b. Ultrahigh dimensional variable selection: beyond the linear model. J. Mach. Learn. Res. 10:1829-53
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 1829-1853
-
-
Fan, J.1
Samworth, R.2
Wu, Y.3
-
48
-
-
78650168263
-
Sure independence screening in generalized linear models with NP-dimensionality
-
Fan J, Song R. 2010. Sure independence screening in generalized linear models with NP-dimensionality. Ann. Stat. 38:3567-604
-
(2010)
Ann. Stat.
, vol.38
, pp. 3567-3604
-
-
Fan, J.1
Song, R.2
-
50
-
-
84952149204
-
A statistical view of some chemometrics regression tools
-
Frank IE, Friedman JH. 1993. A statistical view of some chemometrics regression tools. Technometrics 35:109-48
-
(1993)
Technometrics
, vol.35
, pp. 109-148
-
-
Frank, I.E.1
Friedman, J.H.2
-
51
-
-
45849134070
-
Sparse inverse covariance estimation with the graphical lasso
-
DOI 10.1093/biostatistics/kxm045
-
Friedman J, Hastie T, Tibshirani R. 2008. Sparse inverse covariance estimation with the graphical lasso. Biostatistics 9:432-41 (Pubitemid 351882084)
-
(2008)
Biostatistics
, vol.9
, Issue.3
, pp. 432-441
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
52
-
-
0032361278
-
Penalized regression: The bridge versus the lasso
-
Fu WJ. 1998. Penalized regression: the bridge versus the lasso. J. Comput. Graph. Stat. 7:397-416
-
(1998)
J. Comput. Graph. Stat.
, vol.7
, pp. 397-416
-
-
Fu, W.J.1
-
53
-
-
20744451888
-
Geometric representation of high dimension, low sample size data
-
DOI 10.1111/j.1467-9868.2005.00510.x
-
Hall P, Marron JS, Neeman A. 2005. Geometric representation of high dimension, low sample size data. J. R. Stat. Soc. B 67:427-44 (Pubitemid 40855293)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.3
, pp. 427-444
-
-
Hall, P.1
Marron, J.S.2
Neeman, A.3
-
54
-
-
68849084522
-
Using generalized correlation to effect variable selection in very high dimensional problems
-
Hall P, Miller H. 2009. Using generalized correlation to effect variable selection in very high dimensional problems. J. Comput. Graph. Stat. 18(3):533-50
-
(2009)
J. Comput. Graph. Stat.
, vol.18
, Issue.3
, pp. 533-550
-
-
Hall, P.1
Miller, H.2
-
55
-
-
37849031233
-
Theoretic measures of relative performance of classifiers for high dimensional data with small sample sizes
-
Hall P, Pittelkow Y, GhoshM. 2008. Theoretic measures of relative performance of classifiers for high dimensional data with small sample sizes. J. R. Stat. Soc. B 70:158-73
-
(2008)
J. R. Stat. Soc. B
, vol.70
, pp. 158-173
-
-
Hall, P.1
Pittelkow, Y.2
Ghosh, M.3
-
56
-
-
68849102598
-
Tilting methods for assessing the influence of components in a classifier
-
Hall P, Titterington DM, Xue J-H. 2009. Tilting methods for assessing the influence of components in a classifier. J. R. Stat. Soc. B 71:783-803
-
(2009)
J. R. Stat. Soc. B
, vol.71
, pp. 783-803
-
-
Hall, P.1
Titterington, D.M.2
Xue, J.-H.3
-
58
-
-
33645817313
-
Assessing high house prices: Bubbles, fundamentals and misperceptions
-
DOI 10.1257/089533005775196769
-
Himmelberg C, Mayer C, Sinai T. 2005. Assessing high house prices: bubbles, fundamentals and misperceptions. J. Econ. Perspect. 19(4):67-92 (Pubitemid 43572704)
-
(2005)
Journal of Economic Perspectives
, vol.19
, Issue.4
, pp. 67-92
-
-
Himmelberg, C.1
Mayer, C.2
Sinai, T.3
-
59
-
-
49949115667
-
Asymptotic properties of bridge estimators in sparse highdimensional regression models
-
Huang J, Horowitz J, Ma S. 2008. Asymptotic properties of bridge estimators in sparse highdimensional regression models. Ann. Stat. 36:587-613
-
(2008)
Ann. Stat.
, vol.36
, pp. 587-613
-
-
Huang, J.1
Horowitz, J.2
Ma, S.3
-
60
-
-
33644986127
-
Covariance matrix selection and estimation via penalised normal likelihood
-
Huang JZ, Liu N, Pourahmadi M, Liu L. 2006. Covariance matrix selection and estimation via penalised normal likelihood. Biometrika 93:85-98
-
(2006)
Biometrika
, vol.93
, pp. 85-98
-
-
Huang, J.Z.1
Liu, N.2
Pourahmadi, M.3
Liu, L.4
-
61
-
-
26444617168
-
Variable selection using MM algorithms
-
DOI 10.1214/009053605000000200
-
Hunter DR, Li R. 2005. Variable selection using MM algorithms. Ann. Stat. 33:1617-42 (Pubitemid 41423982)
-
(2005)
Annals of Statistics
, vol.33
, Issue.4
, pp. 1617-1642
-
-
Hunter, D.R.1
Li, R.2
-
62
-
-
0142188090
-
Risk reduction in large portfolios: Why imposing the wrong constraints helps
-
DOI 10.1111/1540-6261.00580
-
Jagannathan R, Ma T. 2003. Risk reduction in large portfolios: why imposing the wrong constraints helps. J. Finance 58(4):1651-83 (Pubitemid 37311696)
-
(2003)
Journal of Finance
, vol.58
, Issue.4
, pp. 1651-1683
-
-
Jagannathan, R.1
Ma, T.2
-
64
-
-
0035641726
-
On the distribution of the largest eigenvalue in principal components analysis
-
Johnstone IM. 2001. On the distribution of the largest eigenvalue in principal components analysis. Ann. Stat. 29:295-327
-
(2001)
Ann. Stat.
, vol.29
, pp. 295-327
-
-
Johnstone, I.M.1
-
66
-
-
77949349770
-
Smoothly clipped absolute deviation on high dimensions
-
Kim Y, Choi H, Oh HS. 2008. Smoothly clipped absolute deviation on high dimensions. J. Am. Stat. Assoc. 103:1665-73
-
(2008)
J. Am. Stat. Assoc.
, vol.103
, pp. 1665-1673
-
-
Kim, Y.1
Choi, H.2
Oh, H.S.3
-
68
-
-
68849132263
-
Sparse recovery in convex hulls via entropy penalization
-
Koltchinskii V. 2008. Sparse recovery in convex hulls via entropy penalization. Ann. Stat. 37(3):1332-59
-
(2008)
Ann. Stat.
, vol.37
, Issue.3
, pp. 1332-1359
-
-
Koltchinskii, V.1
-
69
-
-
73949122606
-
Sparsistency and rates of convergence in large covariance matrices estimation
-
Lam C, Fan J. 2009. Sparsistency and rates of convergence in large covariance matrices estimation. Ann. Stat. 37:4254-78
-
(2009)
Ann. Stat.
, vol.37
, pp. 4254-4278
-
-
Lam, C.1
Fan, J.2
-
70
-
-
54649084049
-
On Cox processes and credit risky securities
-
Lando D. 1998. On Cox processes and credit risky securities. Rev. Deriv. Res. 2:99-120
-
(1998)
Rev. Deriv. Res.
, vol.2
, pp. 99-120
-
-
Lando, D.1
-
71
-
-
0346961488
-
A well-conditioned estimator for large-dimensional covariance matrices
-
DOI 10.1016/S0047-259X(03)00096-4
-
Ledoit O, Wolf M. 2004. A well conditioned estimator for large-dimensional covariance matrices. J. Multivar. Anal. 88:365-411 (Pubitemid 38033261)
-
(2004)
Journal of Multivariate Analysis
, vol.88
, Issue.2
, pp. 365-411
-
-
Ledoit, O.1
Wolf, M.2
-
72
-
-
62349114549
-
Sparse estimation of large covariance matrices via a nested Lasso penalty
-
Levina E, Rothman AJ, Zhu J. 2008. Sparse estimation of large covariance matrices via a nested Lasso penalty. Ann. Appl. Stat. 2:245-63
-
(2008)
Ann. Appl. Stat.
, vol.2
, pp. 245-263
-
-
Levina, E.1
Rothman, A.J.2
Zhu, J.3
-
73
-
-
69949175557
-
A unified approach to model selection and sparse recovery using regularized least squares
-
Lv J, Fan Y. 2009. A unified approach to model selection and sparse recovery using regularized least squares. Ann. Stat. 37:3498-528
-
(2009)
Ann. Stat.
, vol.37
, pp. 3498-3528
-
-
Lv, J.1
Fan, Y.2
-
74
-
-
84995186518
-
Portfolio selection
-
Markowitz HM. 1952. Portfolio selection. J. Finance 7:77-91
-
(1952)
J. Finance
, vol.7
, pp. 77-91
-
-
Markowitz, H.M.1
-
77
-
-
33747163541
-
High-dimensional graphs and variable selection with the Lasso
-
DOI 10.1214/009053606000000281
-
Meinshausen N, Bühlmann P. 2006. High dimensional graphs and variable selection with the Lasso. Ann. Stat. 34:1436-62 (Pubitemid 44231168)
-
(2006)
Annals of Statistics
, vol.34
, Issue.3
, pp. 1436-1462
-
-
Meinshausen, N.1
Buhlmann, P.2
-
78
-
-
80051752236
-
A factor analysis of housing market dynamics in the U.S. and the regions
-
In press
-
Ng S, Moench E. 2011. A factor analysis of housing market dynamics in the U.S. and the regions. Econom. J. In press
-
(2011)
Econom. J.
-
-
Ng, S.1
Moench, E.2
-
80
-
-
70350431688
-
Forecasting real housing price growth in the eighth district states
-
Rapach DE, Strass JK. 2007. Forecasting real housing price growth in the eighth district states. Reg. Econ. Dev. 3(2):33-42
-
(2007)
Reg. Econ. Dev.
, vol.3
, Issue.2
, pp. 33-42
-
-
Rapach, D.E.1
Strass, J.K.2
-
81
-
-
34548452938
-
Piecewise linear regularized solution paths
-
Rosset S, Zhu J. 2007. Piecewise linear regularized solution paths. Ann. Stat. 35:1012-30
-
(2007)
Ann. Stat.
, vol.35
, pp. 1012-1030
-
-
Rosset, S.1
Zhu, J.2
-
83
-
-
0000997472
-
Macroeconomics and reality
-
Sims CA. 1980.Macroeconomics and reality. Econometrica 48(1):1-48
-
(1980)
Econometrica
, vol.48
, Issue.1
, pp. 1-48
-
-
Sims, C.A.1
-
84
-
-
80051723321
-
-
Presented as Rietz Lecture, IMS Annu.Meet., 39th, Atlanta, Georgia
-
Stein C. 1975. Estimation of a covariance matrix. Presented as Rietz Lecture, IMS Annu.Meet., 39th, Atlanta, Georgia
-
(1975)
Estimation of A Covariance Matrix
-
-
Stein, C.1
-
87
-
-
67649342377
-
Forecasting with many predictors
-
ed. G Elliott, C Granger, A Timmermann. Amsterdam: North-Holland
-
Stock JH, Watson MW. 2006. Forecasting with many predictors. In Handbook of Economic Forecasting, Vol. 1, ed. G Elliott, C Granger, A Timmermann, pp. 515-54. Amsterdam: North-Holland
-
(2006)
Handbook of Economic Forecasting
, vol.1
, pp. 515-554
-
-
Stock, J.H.1
Watson, M.W.2
-
88
-
-
84920100025
-
The evolution of national and regional factors in U.S. housing construction
-
ed. T Bollerslev, J Russell, M Watson. New York: Oxford Univ. Press
-
Stock JH, Watson MW. 2010. The evolution of national and regional factors in U.S. housing construction. In Volatility Time Series Econometrics, ed. T Bollerslev, J Russell, M Watson, pp. 35-62. New York: Oxford Univ. Press
-
(2010)
Volatility Time Series Econometrics
, pp. 35-62
-
-
Stock, J.H.1
Watson, M.W.2
-
89
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. 1996. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58:267-88
-
(1996)
J. R. Stat. Soc. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
90
-
-
0031015557
-
The lasso method for variable selection in the cox model
-
DOI 10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2- 3
-
Tibshirani R. 1997. The lasso method for variable selection in the Cox model. Stat. Med. 16:385-95 (Pubitemid 27073009)
-
(1997)
Statistics in Medicine
, vol.16
, Issue.4
, pp. 385-395
-
-
Tibshirani, R.1
-
91
-
-
51049121146
-
High-dimensional generalized linear models and the lasso
-
van de Geer S. 2008. High-dimensional generalized linear models and the lasso. Ann. Stat. 36:614-45
-
(2008)
Ann. Stat.
, vol.36
, pp. 614-645
-
-
Van De Geer, S.1
-
92
-
-
41949129774
-
Sharp thresholds for high-dimensional and noisy recovery of sparsity
-
Dep. Stat., Univ. Calif., Berkeley
-
Wainwright MJ. 2006. Sharp thresholds for high-dimensional and noisy recovery of sparsity. Tech. Rep., Dep. Stat., Univ. Calif., Berkeley
-
(2006)
Tech. Rep.
-
-
Wainwright, M.J.1
-
93
-
-
66849138434
-
Shrinkage tuning parameter selection with a diverging number of parameters
-
Wang H, Li B, Leng C. 2009. Shrinkage tuning parameter selection with a diverging number of parameters. J. R. Stat. Soc. B 71(3):671-83
-
(2009)
J. R. Stat. Soc. B
, vol.71
, Issue.3
, pp. 671-683
-
-
Wang, H.1
Li, B.2
Leng, C.3
-
94
-
-
34548536572
-
Tuning parameter selectors for the smoothly clipped absolute deviation method
-
DOI 10.1093/biomet/asm053
-
Wang H, Li R, Tsai CL. 2007. Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika 94:553-68 (Pubitemid 47384250)
-
(2007)
Biometrika
, vol.94
, Issue.3
, pp. 553-568
-
-
Wang, H.1
Li, R.2
Tsai, C.-L.3
-
95
-
-
84863879353
-
Coordinate descent algorithms for lasso penalized regression
-
Wu TT, Lange K. 2008. Coordinate descent algorithms for lasso penalized regression. Ann. Appl. Stat. 2:224-44
-
(2008)
Ann. Appl. Stat.
, vol.2
, pp. 224-244
-
-
Wu, T.T.1
Lange, K.2
-
96
-
-
3843104546
-
Nonparametric estimation of large covariance matrices of longitudinal data
-
DOI 10.1093/biomet/90.4.831
-
Wu WB, Pourahmadi M. 2003. Nonparametric estimation of large covariance matrices of longitudinal data. Biometrika 90:831-44 (Pubitemid 39047122)
-
(2003)
Biometrika
, vol.90
, Issue.4
, pp. 831-844
-
-
Wu, W.B.1
Pourahmadi, M.2
-
98
-
-
33947115409
-
Model selection and estimation in the Gaussian graphical model
-
DOI 10.1093/biomet/asm018
-
Yuan M, Lin Y. 2007. Model selection and estimation in the Gaussian graphical model. Biometrika 94:19-35 (Pubitemid 46410725)
-
(2007)
Biometrika
, vol.94
, Issue.1
, pp. 19-35
-
-
Yuan, M.1
Lin, Y.2
-
99
-
-
77649284492
-
Nearly unbiased variable selection under minimax concave penalty
-
Zhang CH. 2010. Nearly unbiased variable selection under minimax concave penalty. Ann. Stat. 38 (2):894-942
-
(2010)
Ann. Stat.
, vol.38
, Issue.2
, pp. 894-942
-
-
Zhang, C.H.1
-
100
-
-
34548151636
-
Adaptive Lasso for Cox's proportional hazards model
-
DOI 10.1093/biomet/asm037
-
Zhang HH, Lu W. 2007. Adaptive Lasso for Cox's proportional hazards model. Biometrika 94:691-703 (Pubitemid 47384259)
-
(2007)
Biometrika
, vol.94
, Issue.3
, pp. 691-703
-
-
Zhang, H.H.1
Lu, W.2
-
103
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
Zou H. 2006. The adaptive lasso and its oracle properties. J. Am. Stat. Assoc. 101:1418-29
-
(2006)
J. Am. Stat. Assoc.
, vol.101
, pp. 1418-1429
-
-
Zou, H.1
-
104
-
-
40249107663
-
A note on path-based variable selection in the penalized proportional hazards model
-
DOI 10.1093/biomet/asm083
-
Zou H. 2008. A note on path-based variable selection in the penalized proportional hazards model. Biometrika 95:241-47 (Pubitemid 351333336)
-
(2008)
Biometrika
, vol.95
, Issue.1
, pp. 241-247
-
-
Zou, H.1
-
107
-
-
51049104549
-
One-step sparse estimates in nonconcave penalized likelihood models
-
Zou H, Li R. 2008. One-step sparse estimates in nonconcave penalized likelihood models. Ann. Stat. 36:1509-66
-
(2008)
Ann. Stat.
, vol.36
, pp. 1509-1566
-
-
Zou, H.1
Li, R.2
|