Dr. Peng Zeng
Department
of Mathematics and Statistics
Auburn University, USA
Email: zengpen@auburn.edu
Qualifications
2005 Ph.D.,
Statistics, Purdue
University, USA
2003 M.S.,
Statistics, Purdue
University, USA
1999 B.S.,
Mathematics, Nankai University,
China
Publications (Selected)
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P. Zeng, T.
He, and Y. Zhu (2012) A lasso-type approach for estimation and variable
selection in single-index model. Journal of Computational and Graphical
Statistics, to appear.
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P. Zeng, H.
Wan and Y. Zhu (2011) A coset pattern identity between a $2^{n-p}$ design and
its complementary. Statistica Sinica, 21, 1453-1471.
-
P. Zeng
(2011) A link-free method for testing the significance of predictors. Journal
of Multivariate Analysis, 102, 550-562.
-
P. Zeng and
Y. Zhu (2010) An integral transform method for estimating the central mean and
central subspaces. Journal of Multivariate Analysis, 101, 271-290.
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P. Zeng, Y.
Zhu and K.T. Phelps (2009) Bounds on the maximum number of factors in designs
with two distinct groups of factors. Communications in Statistics - Theory and
Methods, 39, 2302-2310.
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P. Zeng
(2008) Determining the dimension of the central subspace and central mean
subspace. Biometrika, 95, 469-479.
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Y. Zhu, P.
Zeng, and K. Jennings (2007) Optimal compound orthogonal arrays and single
arrays for robust parameter design experiments. Technometrics, 49, 440-453.
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Y. Zhu and
P. Zeng (2006) Fourier methods for estimating the central subspace and the
central mean subspace in regression. Journal of the American Statistical
Association, 101, 1638-1651.
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W. Zhong, P.
Zeng, P. Ma, J.S. Liu, and Y. Zhu (2005) RSIR: regularized sliced inverse
regression for motif discovery. Bioinformatics, 21, 4169-4175.
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Y. Zhu and
P. Zeng (2005) On the coset pattern matrices and minimum M-aberration of
$2^{n-p}$ designs. Statistica Sinica, 15, 717-730.
Profile
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