Debashis Paul

Cited by

	All	Since 2016
Citations	2832	1519
h-index	17	15
i10-index	24	21

360

180

270

200620072008200920102011201220132014201520162017201820192020202127 45 84 113 107 129 175 181 199 233 265 253 309 317 355 19

Co-authors

Jie PengUniversity of California, DavisVerified email at ucdavis.edu
Eric BairStatistical Scientist, SciomeVerified email at sciome.com
Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityVerified email at stanford.edu
Trevor HastieProfessor of Statistics, Stanford UniversityVerified email at stanford.edu
Ravi NarasimhanVerified email at stanfordalumni.org
Anandamayee MajumdarIndependent University, BangladeshVerified email at iub.edu.bd
Hongyu ZhaoYale UniversityVerified email at yale.edu
Jiming JiangProfessor of Statistics, University of CaliforniaVerified email at wald.ucdavis.edu
Owen CarmichaelPennington Biomedical Research CenterVerified email at pbrc.edu
Aharon BirnbaumThe Hebrew UniversityVerified email at mail.huji.ac.il
Boaz NadlerWeizmann Institute of Science, IsraelVerified email at weizmann.ac.il
Can YangHong Kong University of Science and TechnologyVerified email at ust.hk
Cong LiSenior Statistician, Takeda Pharmaceuticals IncVerified email at takeda.com
Minjie FanQuantitative Analyst, GoogleVerified email at google.com
Douglas NychkaProfessor, Applied Mathematics and Statistics, Colorado School of MinesVerified email at mines.edu
Jack SilversteinNorth Carolina State UniversityVerified email at math.ncsu.edu
R PrenticeFred Hutchinson Cancer Research CenterVerified email at whi.org
Haoyang LiuFederal Reserve Bank of New YorkVerified email at berkeley.edu
Byeong U. ParkSeoul National UniversityVerified email at stats.snu.ac.kr
Hans-Georg MüllerUniversity of California, DavisVerified email at ucdavis.edu

Debashis Paul

Department of Statistics, University of California, Davis

Verified email at ucdavis.edu - Homepage

high-dimensional statistics random matrix theory neuroimaging functional data analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Prediction by supervised principal components E Bair, T Hastie, D Paul, R Tibshirani Journal of the American Statistical Association, 2006	749	2006
Asymptotics of sample eigenstructure for a large dimensional spiked covariance model D Paul Statistica Sinica 17 (4), 1617-1642, 2007	641	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	276	2006
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	139	2013
Random matrix theory in statistics: A review D Paul, A Aue Journal of Statistical Planning and Inference 150, 1-29, 2014	133	2014
“Preconditioning” for feature selection and regression in high-dimensional problems D Paul, E Bair, T Hastie, R Tibshirani Annals of Statistics 36 (4), 1595-1618, 2008	131	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	106	2009
Augmented sparse principal component analysis for high dimensional data D Paul, IM Johnstone Arxiv preprint arXiv:1202.1242, 2012	83	2012
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	73	2009
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	72	2011
On the Marčenko–Pastur law for linear time series H Liu, A Aue, D Paul Annals of Statistics 43 (2), 675-712, 2015	47	2015
On high-dimensional misspecified mixed model analysis in genome-wide association study J Jiang, C Li, D Paul, C Yang, H Zhao The Annals of Statistics 44 (5), 2127-2160, 2016	45*	2016
Pca in high dimensions: An orientation IM Johnstone, D Paul Proceedings of the IEEE 106 (8), 1277-1292, 2018	42	2018
Consistency of restricted maximum likelihood estimators of principal components D Paul, J Peng The Annals of Statistics 37 (3), 1229-1271, 2009	37	2009
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	31*	2011
Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach D Paul, J Peng Electronic Journal of Statistics 5, 1960-2003, 2011	23	2011
A generalized convolution model for multivariate nonstationary spatial processes A Majumdar, D Paul, D Bautista Statistica Sinica, 675-695, 2010	22	2010
Nonparametric estimation of principal components. D Paul	17	2004
Diffusion tensor smoothing through weighted Karcher means O Carmichael, J Chen, D Paul, J Peng Electronic journal of statistics 7, 1913, 2013	16	2013
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	15	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors