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Annals of Statistics

Volumn 36, Issue 4, 2008, Pages 1561-1566

Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

(2) Zou, Hui a Li, Runze b

a UNIVERSITY OF MINNESOTA (United States)

b PENNSYLVANIA STATE UNIVERSITY (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 51049087316 PISSN: 00905364 EISSN: None Source Type: Journal
DOI: 10.1214/07-AOS0316REJ Document Type: Review

Times cited : (34)

References (16)

1
- 4043135554
- Optimal predictive model selection
- MR2065192
- BARBIERI, M. and BERGER, J. (2004). Optimal predictive model selection. Ann. Statist. 32 870-897. MR2065192
- (2004) Ann. Statist , vol.32 , pp. 870-897
- BARBIERI, M.¹ BERGER, J.²

2
- 0037418225
- 1 minimization
- MR1963681
- 1 minimization. Proc. Natl. Acad. Sci. 100 2197-2202. MR1963681
- (2003) Proc. Natl. Acad. Sci , vol.100 , pp. 2197-2202
- DONOHO, D.L.¹ ELAD, E.²

3
- 0035504028
- Uncertainty principles and ideal atomic decomposition
- MR1872845
- DONOHO, D. L. and HUO, X. (2001). Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inform. Theory 47 2845-2862. MR1872845
- (2001) IEEE Trans. Inform. Theory , vol.47 , pp. 2845-2862
- DONOHO, D.L.¹ HUO, X.²

4
- 3242708140
- Least angle regression
- MR2060166
- EFRON, B., HASTIE, T., JOHNSTONE, I. and TIBSHIRANI, R. (2004). Least angle regression. Ann. Statist. 32 407-499. MR2060166
- (2004) Ann. Statist , vol.32 , pp. 407-499
- EFRON, B.¹ HASTIE, T.² JOHNSTONE, I.³ TIBSHIRANI, R.⁴

5
- 1542784498
- Variable selection via nonconcave penalized likelihood and its oracle properties
- MR1946581
- FAN, J. and LI, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. J. Amer. Statist. Assoc. 96 1348-1360. MR1946581
- (2001) J. Amer. Statist. Assoc , vol.96 , pp. 1348-1360
- FAN, J.¹ LI, R.²

6
- 4944267519
- New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis
- MR2090905
- FAN, J. and LI, R. (2004). New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis. J. Amer. Statist. Assoc. 99 710-723. MR2090905
- (2004) J. Amer. Statist. Assoc , vol.99 , pp. 710-723
- FAN, J.¹ LI, R.²

7
- 84878031768
- FAN, J. and LI, R. (2006). Statistical challenges with high dimensionality: Feature selection in knowledge discovery. In Proceedings of the Madrid International Congress of Mathematicians 3 (M. Sanz-Sole, J. Soria, J. L. Varona and J. Verdera, eds.) 595-622. EMS, Zürich. MR2275698
- FAN, J. and LI, R. (2006). Statistical challenges with high dimensionality: Feature selection in knowledge discovery. In Proceedings of the Madrid International Congress of Mathematicians 3 (M. Sanz-Sole, J. Soria, J. L. Varona and J. Verdera, eds.) 595-622. EMS, Zürich. MR2275698

8
- 24344502730
- On non-concave penalized likelihood with diverging number of parameters
- MR2065194
- FAN, J. and PENG, H. (2004). On non-concave penalized likelihood with diverging number of parameters. Ann. Statist. 32 928-961. MR2065194
- (2004) Ann. Statist , vol.32 , pp. 928-961
- FAN, J.¹ PENG, H.²

9
- 51049098638
- HASTIE, T., TIBSHIRANI, R. and FRIEDMAN, J. (2001). The Elements of Statistical Learning; Data mining, Inference and Prediction. Springer, New York. MR1851606
- HASTIE, T., TIBSHIRANI, R. and FRIEDMAN, J. (2001). The Elements of Statistical Learning; Data mining, Inference and Prediction. Springer, New York. MR1851606

10
- 50649106252
- Variable selection in semiparametric regression modeling
- LI, R. and LIANG, H. (2008). Variable selection in semiparametric regression modeling. Ann. Statist. 36 261-286.
- (2008) Ann. Statist , vol.36 , pp. 261-286
- LI, R.¹ LIANG, H.²

11
- 51049114854
- MADIGAN, D. and GREG, R. (2004). Discussion of Least angle regression, by B. Efron, T. Hastie and I. Johnstone. Ann. Statist. 32 465-469. MR2060166
- MADIGAN, D. and GREG, R. (2004). Discussion of "Least angle regression," by B. Efron, T. Hastie and I. Johnstone. Ann. Statist. 32 465-469. MR2060166

12
- 33747163541
- High-dimensional graphs and variable selection with the lasso
- MR2278363
- MEINSHAUSEN, N. and BÜHLMANN, P. (2006). High-dimensional graphs and variable selection with the lasso. Ann. Statist. 34 1436-1462. MR2278363
- (2006) Ann. Statist , vol.34 , pp. 1436-1462
- MEINSHAUSEN, N.¹ BÜHLMANN, P.²

13
- 85194972808
- Regression shrinkage and. selection via the lasso
- MR1379242
- TIBSHIRANI, R. (1996). Regression shrinkage and. selection via the lasso. J. Roy. Statist. Soc. Ser. B 58 267-288. MR1379242
- (1996) J. Roy. Statist. Soc. Ser. B , vol.58 , pp. 267-288
- TIBSHIRANI, R.¹

14
- 26444493144
- Boosting with early stopping: Convergence and consistency
- MR2166555
- ZHANG, T. and YU, B. (2005). Boosting with early stopping: Convergence and consistency. Ann. Statist. 33 1538-1579. MR2166555
- (2005) Ann. Statist , vol.33 , pp. 1538-1579
- ZHANG, T.¹ YU, B.²

15
- 33845263263
- On model selection consistency of lasso
- MR2274449
- ZHAO, P. and YU, B. (2006). On model selection consistency of lasso. J. Mach. Learn. Res. 7 2541-2563. MR2274449
- (2006) J. Mach. Learn. Res , vol.7 , pp. 2541-2563
- ZHAO, P.¹ YU, B.²

16
- 33846114377
- The adaptive lasso and its oracle properties
- MR2279469
- ZOU, H. (2006). The adaptive lasso and its oracle properties. J. Amer. Statist. Assoc. 101 1418-1429. MR2279469
- (2006) J. Amer. Statist. Assoc , vol.101 , pp. 1418-1429
- ZOU, H.¹

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