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Random matrix theory in statistics: A review

Journal of statistical planning and inference, 2014-07, Vol.150, p.1-29

2014

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Prediction by Supervised Principal Components

Journal of the American Statistical Association, 2006-03, Vol.101 (473), p.119-137

2006

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Inference on the dynamics of COVID-19 in the United States

Scientific reports, 2022-02, Vol.12 (1), p.2253-15, Article 2253

2022

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ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL

Statistica Sinica, 2007-10, Vol.17 (4), p.1617-1642

Paul, Debashis

2007

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A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data

Journal of computational and graphical statistics, 2009, Vol.18 (4), p.995-1015

2009

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Analysis of Variability of Functionals of Recombinant Protein Production Trajectories Based on Limited Data

International journal of molecular sciences, 2022-07, Vol.23 (14), p.7628

2022

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Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction

European journal of medical research, 2024-09, Vol.29 (1), p.458-15, Article 458

2024

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Investigating the second whitefly population outbreak within a decade in the cotton growing zone of North India

PeerJ (San Francisco, CA), 2024-07, Vol.12, p.e17476, Article e17476

2024

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PCA in High Dimensions: An Orientation

Proceedings of the IEEE, 2018-08, Vol.106 (8), p.1277-1292

2018

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Techno-economic process modelling and Monte Carlo simulation data of uncertainty quantification in field-grown plant-based manufacturing

Data in brief, 2021-10, Vol.38, p.107317-107317, Article 107317

2021

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ON THE MARČENKO-PASTUR LAW FOR LINEAR TIME SERIES

The Annals of statistics, 2015-04, Vol.43 (2), p.675-712

2015

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Ocean and atmospheric characteristics associated with the cyclogenesis and rapid intensification of NIO super cyclonic storms during 1981–2020

Natural hazards (Dordrecht), 2022-10, Vol.114 (1), p.261-289

2022

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Testing General Linear Hypotheses Under a High-Dimensional Multivariate Regression Model with Spiked Noise Covariance

Journal of the American Statistical Association, 2024-03, p.1-12

2024

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ON HIGH-DIMENSIONAL MISSPECIFIED MIXED MODEL ANALYSIS IN GENOME-WIDE ASSOCIATION STUDY

The Annals of statistics, 2016-10, Vol.44 (5), p.2127-2160

2016

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Impact of environmental variables on the North Indian Ocean tropical cyclones radial parameters

Climate dynamics, 2023-02, Vol.60 (3-4), p.813-830

2023

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On the asymptotic risk of ridge regression with many predictors

Indian journal of pure and applied mathematics, 2024-09, Vol.55 (3), p.1040-1054

2024

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Limiting spectral distribution of renormalized separable sample covariance matrices when p/n→0

Journal of multivariate analysis, 2014-04, Vol.126, p.25-52

2014

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An adaptable generalization of Hotelling’s $T^{2}$ test in high dimension

The Annals of statistics, 2020-06, Vol.48 (3)

2020

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A study on radial characteristics of North Indian Ocean tropical cyclones and associated energy indices through numerical modeling

Atmospheric research, 2024-10, Vol.309, p.107587, Article 107587

2024

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Zero Expectile Processes and Bayesian Spatial Regression

Journal of computational and graphical statistics, 2016-07, Vol.25 (3), p.727-747

2016

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MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY HIGH-DIMENSIONAL DATA

The Annals of statistics, 2013-06, Vol.41 (3), p.1055-1084

2013

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High-dimensional general linear hypothesis tests via non-linear spectral shrinkage

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2020-11, Vol.26 (4)

2020

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High-Dimensional Asymptotic Behavior of Inference Based on Gwas Summary Statistics

Statistica Sinica, 2024

2024

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Spectral analysis of sample autocovariance matrices of a class of linear time series in moderately high dimensions

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2017-11, Vol.23 (4A), p.2181-2209

2017

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Smooth predictive model fitting in regression

Journal of multivariate analysis, 2017-03, Vol.155, p.165-179

2017

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Random matrix theory in statistics: A review

Prediction by Supervised Principal Components

Inference on the dynamics of COVID-19 in the United States

ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL

A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data

Analysis of Variability of Functionals of Recombinant Protein Production Trajectories Based on Limited Data

Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction

Investigating the second whitefly population outbreak within a decade in the cotton growing zone of North India

PCA in High Dimensions: An Orientation

Techno-economic process modelling and Monte Carlo simulation data of uncertainty quantification in field-grown plant-based manufacturing

ON THE MARČENKO-PASTUR LAW FOR LINEAR TIME SERIES

Ocean and atmospheric characteristics associated with the cyclogenesis and rapid intensification of NIO super cyclonic storms during 1981–2020

Testing General Linear Hypotheses Under a High-Dimensional Multivariate Regression Model with Spiked Noise Covariance

ON HIGH-DIMENSIONAL MISSPECIFIED MIXED MODEL ANALYSIS IN GENOME-WIDE ASSOCIATION STUDY

Impact of environmental variables on the North Indian Ocean tropical cyclones radial parameters

On the asymptotic risk of ridge regression with many predictors

Limiting spectral distribution of renormalized separable sample covariance matrices when p/n→0

An adaptable generalization of Hotelling’s $T^{2}$ test in high dimension

A study on radial characteristics of North Indian Ocean tropical cyclones and associated energy indices through numerical modeling

Zero Expectile Processes and Bayesian Spatial Regression

MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY HIGH-DIMENSIONAL DATA

High-dimensional general linear hypothesis tests via non-linear spectral shrinkage

High-Dimensional Asymptotic Behavior of Inference Based on Gwas Summary Statistics

Spectral analysis of sample autocovariance matrices of a class of linear time series in moderately high dimensions

Smooth predictive model fitting in regression

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