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1.

Forward Regression for Ultra-High Dimensional Variable Screening
by Wang, Hansheng

Journal of the American Statistical Association, 01 December 2009, Vol.104(488), pp.1512-1524

3.

Testing covariates in high-dimensional regression
by Lan, Wei

Annals of the Institute of Statistical Mathematics, 2014, Vol.66(2), pp.279-301

5.

Sufficient dimension reduction for spatial point processes directed by Gaussian random fields
by Guan, Yongtao

Journal of the Royal Statistical Society: Series B (Statistical Methodology), June 2010, Vol.72(3), pp.367-387

8.

Shrinkage Estimation of the Varying Coefficient Model
by Wang, Hansheng

Journal of the American Statistical Association, 01 June 2009, Vol.104(486), pp.747-757

10.

Sliced Regression for Dimension Reduction
by Wang, Hansheng

Journal of the American Statistical Association, 01 June 2008, Vol.103(482), pp.811-821

14.

Shrinkage tuning parameter selection with a diverging number of parameters
by Wang, Hansheng

Journal of the Royal Statistical Society: Series B (Statistical Methodology), June 2009, Vol.71(3), pp.671-683

12

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