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Debashis Paul
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Prediction by supervised principal components
E Bair, T Hastie, D Paul, R Tibshirani
Journal of the American Statistical Association, 2006
10012006
Asymptotics of sample eigenstructure for a large dimensional spiked covariance model
D Paul
Statistica Sinica 17 (4), 1617-1642, 2007
8402007
On the distribution of SINR for the MMSE MIMO receiver and performance analysis
P Li, D Paul, R Narasimhan, J Cioffi
Information Theory, IEEE Transactions on 52 (1), 271-286, 2006
3252006
Random matrix theory in statistics: A review
D Paul, A Aue
Journal of Statistical Planning and Inference 150, 1-29, 2014
2042014
Minimax bounds for sparse PCA with noisy high-dimensional data
A Birnbaum, IM Johnstone, B Nadler, D Paul
Annals of statistics 41 (3), 1055, 2013
1802013
“Preconditioning” for feature selection and regression in high-dimensional problems
D Paul, E Bair, T Hastie, R Tibshirani
1452008
A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data
J Peng, D Paul
Journal of Computational and Graphical Statistics 18 (4), 995-1015, 2009
1352009
PCA in high dimensions: An orientation
IM Johnstone, D Paul
Proceedings of the IEEE 106 (8), 1277-1292, 2018
1272018
A Regularized Hotelling’s T^2 Test for Pathway Analysis in Proteomic Studies
LS Chen, D Paul, RL Prentice, P Wang
Journal of the American Statistical Association 106 (496), 1345-1360, 2011
1222011
No eigenvalues outside the support of the limiting empirical spectral distribution of a separable covariance matrix
D Paul, JW Silverstein
Journal of Multivariate Analysis 100 (1), 37-57, 2009
972009
Augmented sparse principal component analysis for high dimensional data
D Paul, IM Johnstone
Arxiv preprint arXiv:1202.1242, 2012
862012
On high-dimensional misspecified mixed model analysis in genome-wide association study
J Jiang, C Li, D Paul, C Yang, H Zhao
762016
On the Marčenko–Pastur law for linear time series
H Liu, A Aue, D Paul
732015
Thick-lens velocity-map imaging spectrometer with high resolution for high-energy charged particles
NG Kling, D Paul, A Gura, G Laurent, S De, H Li, Z Wang, B Ahn, CH Kim, ...
Journal of Instrumentation 9 (05), P05005, 2014
712014
Consistency of restricted maximum likelihood estimators of principal components
D Paul, J Peng
542009
Technical report
D Paul, I Johnstone
UC Davis, 2007
472007
Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach
T Matsuo, DW Nychka, D Paul
Computational Statistics & Data Analysis 55 (6), 2059-2073, 2011
39*2011
AN ADAPTABLE GENERALIZATION OF HOTELLING’ST ² TEST IN HIGH DIMENSION
H Li, A Aue, D Paul, J Peng, P Wang
The Annals of Statistics 48 (3), 1815-1847, 2020
34*2020
Limiting spectral distribution of renormalized separable sample covariance matrices when p/n→ 0
L Wang, D Paul
Journal of Multivariate Analysis 126, 25-52, 2014
322014
Modeling tangential vector fields on a sphere
M Fan, D Paul, TCM Lee, T Matsuo
Journal of the American Statistical Association 113 (524), 1625-1636, 2018
282018
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학술자료 1–20