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1.

A Perturbation Method for Inference on Regularized Regression Estimates.

Minnier J, Tian L, Cai T.

J Am Stat Assoc. 2011 Jan 1;106(496):1371-1382. Epub 2012 Jan 24.

2.

High-dimensional Cox models: the choice of penalty as part of the model building process.

Benner A, Zucknick M, Hielscher T, Ittrich C, Mansmann U.

Biom J. 2010 Feb;52(1):50-69. doi: 10.1002/bimj.200900064.

PMID:
20166132
3.
4.

Penalized Bregman divergence for large-dimensional regression and classification.

Zhang C, Jiang Y, Chai Y.

Biometrika. 2010 Sep;97(3):551-566. Epub 2010 Jun 30.

5.

CALIBRATING NON-CONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION.

Wang L, Kim Y, Li R.

Ann Stat. 2013 Oct 1;41(5):2505-2536.

6.

VARIABLE SELECTION IN LINEAR MIXED EFFECTS MODELS.

Fan Y, Li R.

Ann Stat. 2012 Aug 1;40(4):2043-2068.

7.

REGULARIZATION FOR COX'S PROPORTIONAL HAZARDS MODEL WITH NP-DIMENSIONALITY.

Bradic J, Fan J, Jiang J.

Ann Stat. 2011;39(6):3092-3120.

8.

VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.

Garcia RI, Ibrahim JG, Zhu H.

Stat Sin. 2010 Jan;20(1):149-165.

9.

Estimation of evolutionary parameters with phylogenetic trees.

Wang Q, Salter LA, Pearl DK.

J Mol Evol. 2002 Dec;55(6):684-95.

PMID:
12486527
10.

ADAPTIVE ROBUST VARIABLE SELECTION.

Fan J, Fan Y, Barut E.

Ann Stat. 2014 Feb 1;42(1):324-351.

11.

Variable Selection in Measurement Error Models.

Ma Y, Li R.

Bernoulli (Andover). 2010;16(1):274-300.

13.

Sparse Estimation and Inference for Censored Median Regression.

Shows JH, Lu W, Zhang HH.

J Stat Plan Inference. 2010 Jul;140(7):1903-1917.

14.

An adaptive regularization parameter choice strategy for multispectral bioluminescence tomography.

Feng J, Qin C, Jia K, Han D, Liu K, Zhu S, Yang X, Tian J.

Med Phys. 2011 Nov;38(11):5933-44. doi: 10.1118/1.3635221.

PMID:
22047358
15.

Gene expression analysis with the parametric bootstrap.

van der Laan MJ, Bryan J.

Biostatistics. 2001 Dec;2(4):445-61.

16.

Regularized sandwich estimators for analysis of high-dimensional data using generalized estimating equations.

Warton DI.

Biometrics. 2011 Mar;67(1):116-23. doi: 10.1111/j.1541-0420.2010.01438.x.

PMID:
20528857
17.
18.

Regularized parameter estimation in high-dimensional gaussian mixture models.

Ruan L, Yuan M, Zou H.

Neural Comput. 2011 Jun;23(6):1605-22. doi: 10.1162/NECO_a_00128. Epub 2011 Mar 11.

PMID:
21395439
19.
20.

Variable Selection for Partially Linear Models with Measurement Errors.

Liang H, Li R.

J Am Stat Assoc. 2009;104(485):234-248.

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