Prediction by supervised principal components E Bair, T Hastie, D Paul, R Tibshirani Journal of the American Statistical Association, 2006 | 1014 | 2006 |
Asymptotics of sample eigenstructure for a large dimensional spiked covariance model D Paul Statistica Sinica 17 (4), 1617-1642, 2007 | 856 | 2007 |
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 | 329 | 2006 |
Random matrix theory in statistics: A review D Paul, A Aue Journal of Statistical Planning and Inference 150, 1-29, 2014 | 207 | 2014 |
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 | 181 | 2013 |
“Preconditioning” for feature selection and regression in high-dimensional problems D Paul, E Bair, T Hastie, R Tibshirani | 146 | 2008 |
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 | 137 | 2009 |
PCA in high dimensions: An orientation IM Johnstone, D Paul Proceedings of the IEEE 106 (8), 1277-1292, 2018 | 134 | 2018 |
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 | 124 | 2011 |
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 | 98 | 2009 |
Augmented sparse principal component analysis for high dimensional data D Paul, IM Johnstone Arxiv preprint arXiv:1202.1242, 2012 | 86 | 2012 |
On high-dimensional misspecified mixed model analysis in genome-wide association study J Jiang, C Li, D Paul, C Yang, H Zhao | 78 | 2016 |
On the Marčenko–Pastur law for linear time series H Liu, A Aue, D Paul | 73 | 2015 |
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 | 73 | 2014 |
Consistency of restricted maximum likelihood estimators of principal components D Paul, J Peng | 54 | 2009 |
Technical report D Paul, I Johnstone UC Davis, 2007 | 48 | 2007 |
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 | 36* | 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 | 33 | 2014 |
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 | 29 | 2018 |