Concepedia

Debashis Paul

DP

20

Publications

2.8K

Citations

18

H-Index

2005

Active since

Affiliations

University of California, Davis(Current)

Stanford University

Cooperative Institute for Research in Environmental Sciences

Debashis Paul is an author at University of California, Davis specializing in statistics, engineering, and statistical inference.

Top concepts

StatisticsEngineeringStatistical InferenceData ScienceFunctional Data AnalysisSpectral TheoryMultivariate AnalysisBiostatisticsPublic HealthEstimation Theory

Publications per year

2005–2020

20

Publications

20

Prediction by Supervised Principal Components

Eric Bair, Trevor Hastie, Debashis Paul et al. · Journal of the American Statistical Association · 2006 · 811 citations

Engineering, Machine Learning, Feature Selection +17

ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL

Debashis Paul · 2007 · 647 citations

High-dimensional Method, Corresponding Sample Eigenvalue, Sampling Theory +9

On the distribution of SINR for the MMSE MIMO receiver and performance analysis

Ping Li, Debashis Paul, R. Narasimhan et al. · IEEE Transactions on Information Theory · 2005 · 302 citations

Wireless Communications, Engineering, Mimo +16

Minimax bounds for sparse PCA with noisy high-dimensional data

Aharon Birnbaum, Iain M. Johnstone, Boaz Nadler et al. · The Annals of Statistics · 2013 · 184 citations · Full text

PCA in High Dimensions: An Orientation

Iain M. Johnstone, Debashis Paul · Proceedings of the IEEE · 2018 · 138 citations

Geometric Modeling, Latent Modeling, High Dimensions +13

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