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Nearly unbiased variable selection under minimax concave penalty

The Annals of statistics, 2010-04, Vol.38 (2)

Zhang, Cun-Hui

2010

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Confidence intervals for low dimensional parameters in high dimensional linear models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2014-01, Vol.76 (1), p.217-242

2014

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On Tensor Completion via Nuclear Norm Minimization

Foundations of computational mathematics, 2016-08, Vol.16 (4), p.1031-1068

2016

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The Sparsity and Bias of the Lasso Selection in High-Dimensional Linear Regression

The Annals of statistics, 2008-08, Vol.36 (4), p.1567-1594

2008

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BEYOND GAUSSIAN APPROXIMATION: BOOTSTRAP FOR MAXIMA OF SUMS OF INDEPENDENT RANDOM VECTORS

The Annals of statistics, 2020-12, Vol.48 (6), p.3643-3671

2020

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OPTIMAL RATES OF CONVERGENCE FOR COVARIANCE MATRIX ESTIMATION

The Annals of statistics, 2010-08, Vol.38 (4), p.2118-2144

2010

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Second-order Stein: SURE for SURE and other applications in high-dimensional inference

The Annals of statistics, 2021-08, Vol.49 (4), p.1864

2021

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A group bridge approach for variable selection

Biometrika, 2009-06, Vol.96 (2), p.339-355

2009

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Statistically optimal and computationally efficient low rank tensor completion from noisy entries

The Annals of statistics, 2021-02, Vol.49 (1), p.76

2021

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A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

Statistical science, 2012-11, Vol.27 (4), p.576-593

2012

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Factor Models for High-Dimensional Tensor Time Series

Journal of the American Statistical Association, 2022-01, Vol.117 (537), p.94-116

2022

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Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion

IEEE transactions on information theory, 2017-10, Vol.63 (10), p.6753-6766

2017

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ISOTONIC REGRESSION IN MULTI-DIMENSIONAL SPACES AND GRAPHS

The Annals of statistics, 2020-12, Vol.48 (6), p.3672-3698

2020

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Scaled sparse linear regression

Biometrika, 2012-12, Vol.99 (4), p.879-898

2012

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Lasso adjustments of treatment effect estimates in randomized experiments

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7383-7390

2016

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Tensor Principal Component Analysis in High Dimensional CP Models

IEEE transactions on information theory, 2023-02, Vol.69 (2), p.1147-1167

2023

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On Sample Size of the Kruskal-Wallis Test with Application to a Mouse Peritoneal Cavity Study

Biometrics, 2011-03, Vol.67 (1), p.213-224

2011

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LIMIT DISTRIBUTION THEORY FOR BLOCK ESTIMATORS IN MULTIPLE ISOTONIC REGRESSION

The Annals of statistics, 2020-12, Vol.48 (6), p.3251-3282

2020

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ADAPTIVE LASSO FOR SPARSE HIGH-DIMENSIONAL REGRESSION MODELS

Statistica Sinica, 2008-10, Vol.18 (4), p.1603-1618

2008

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ON ESTIMATION OF ISOTONIC PIECEWISE CONSTANT SIGNALS

The Annals of statistics, 2020-04, Vol.48 (2), p.629-654

2020

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Finding a resveratrol analogue as potential anticancer agent with apoptosis and cycle arrest

Journal of pharmacological sciences, 2020-07, Vol.143 (3), p.238-241

2020

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Comments on "A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models"

Journal of the American Statistical Association, 2023, Vol.118 (543), p.1586-1589

2023

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High-dimensional simultaneous inference with the bootstrap

Test (Madrid, Spain), 2017-12, Vol.26 (4), p.685-719

2017

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General Maximum Likelihood Empirical Bayes Estimation of Normal Means

The Annals of statistics, 2009-08, Vol.37 (4), p.1647-1684

2009

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Confidence intervals for multiple isotonic regression and other monotone models

The Annals of statistics, 2021-08, Vol.49 (4), p.2021

2021

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Nearly unbiased variable selection under minimax concave penalty

Confidence intervals for low dimensional parameters in high dimensional linear models

On Tensor Completion via Nuclear Norm Minimization

The Sparsity and Bias of the Lasso Selection in High-Dimensional Linear Regression

BEYOND GAUSSIAN APPROXIMATION: BOOTSTRAP FOR MAXIMA OF SUMS OF INDEPENDENT RANDOM VECTORS

OPTIMAL RATES OF CONVERGENCE FOR COVARIANCE MATRIX ESTIMATION

Second-order Stein: SURE for SURE and other applications in high-dimensional inference

A group bridge approach for variable selection

Statistically optimal and computationally efficient low rank tensor completion from noisy entries

A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

Factor Models for High-Dimensional Tensor Time Series

Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion

ISOTONIC REGRESSION IN MULTI-DIMENSIONAL SPACES AND GRAPHS

Scaled sparse linear regression

Lasso adjustments of treatment effect estimates in randomized experiments

Tensor Principal Component Analysis in High Dimensional CP Models

On Sample Size of the Kruskal-Wallis Test with Application to a Mouse Peritoneal Cavity Study

LIMIT DISTRIBUTION THEORY FOR BLOCK ESTIMATORS IN MULTIPLE ISOTONIC REGRESSION

ADAPTIVE LASSO FOR SPARSE HIGH-DIMENSIONAL REGRESSION MODELS

ON ESTIMATION OF ISOTONIC PIECEWISE CONSTANT SIGNALS

Finding a resveratrol analogue as potential anticancer agent with apoptosis and cycle arrest

Comments on "A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models"

High-dimensional simultaneous inference with the bootstrap

General Maximum Likelihood Empirical Bayes Estimation of Normal Means

Confidence intervals for multiple isotonic regression and other monotone models

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