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OPTIMAL RATES OF CONVERGENCE FOR NOISY SPARSE PHASE RETRIEVAL VIA THRESHOLDED WIRTINGER FLOW

The Annals of statistics, 2016-10, Vol.44 (5), p.2221-2251

2016

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Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models

Journal of the American Statistical Association, 2021-04, Vol.116 (534), p.984-998

2021

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SPARSE PCA: OPTIMAL RATES AND ADAPTIVE ESTIMATION

The Annals of statistics, 2013-12, Vol.41 (6), p.3074-3110

2013

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Two‐sample test of high dimensional means under dependence

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2014-03, Vol.76 (2), p.349-372

2014

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Transfer learning for high‐dimensional linear regression: Prediction, estimation and minimax optimality

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-02, Vol.84 (1), p.149-173

2022

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Minimax and Adaptive Prediction for Functional Linear Regression

Journal of the American Statistical Association, 2012-09, Vol.107 (499), p.1201-1216

2012

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The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy

The Annals of statistics, 2021-10, Vol.49 (5), p.2825

2021

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Semisupervised inference for explained variance in high dimensional linear regression and its applications

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020-04, Vol.82 (2), p.391-419

2020

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LIMITING LAWS OF COHERENCE OF RANDOM MATRICES WITH APPLICATIONS TO TESTING COVARIANCE STRUCTURE AND CONSTRUCTION OF COMPRESSED SENSING MATRICES

The Annals of statistics, 2011-06, Vol.39 (3), p.1496-1525

2011

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LIMITING LAWS FOR DIVERGENT SPIKED EIGENVALUES AND LARGEST NONSPIKED EIGENVALUE OF SAMPLE COVARIANCE MATRICES

The Annals of statistics, 2020-06, Vol.48 (3), p.1255-1280

2020

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High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-09, Vol.81 (4), p.675-705

2019

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Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2018-09, Vol.80 (4), p.793-815

2018

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Prediction in Functional Linear Regression

The Annals of statistics, 2006-10, Vol.34 (5), p.2159-2179

2006

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Optimal Permutation Recovery in Permuted Monotone Matrix Model

Journal of the American Statistical Association, 2021, Vol.116 (535), p.1358-1372

2021

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Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer

Journal of the American Statistical Association, 2024-04, Vol.119 (546), p.1274-1285

2024

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Optimal statistical inference for individualized treatment effects in high‐dimensional models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2021-09, Vol.83 (4), p.669-719

2021

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ESTIMATING SPARSE PRECISION MATRIX: OPTIMAL RATES OF CONVERGENCE AND ADAPTIVE ESTIMATION

The Annals of statistics, 2016-04, Vol.44 (2), p.455-488

2016

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Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms

IEEE transactions on information theory, 2024-01, Vol.70 (1), p.1-1

2024

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OPTIMAL RATES OF CONVERGENCE FOR SPARSE COVARIANCE MATRIX ESTIMATION

The Annals of statistics, 2012-10, Vol.40 (5), p.2389-2420

2012

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Heteroskedastic PCA: Algorithm, optimality, and applications

The Annals of statistics, 2022-02, Vol.50 (1), p.53

2022

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CHIME: CLUSTERING OF HIGH-DIMENSIONAL GAUSSIAN MIXTURES WITH EM ALGORITHM AND ITS OPTIMALITY

The Annals of statistics, 2019-06, Vol.47 (3), p.1234-1267

2019

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Covariate-assisted ranking and screening for large-scale two-sample inference

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-04, Vol.81 (2), p.187-234

2019

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Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms, and Statistical Inference

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1849-1861

2023

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False discovery control in large‐scale spatial multiple testing

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2015-01, Vol.77 (1), p.59-83

2015

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Phylogenetic association analysis with conditional rank correlation

Biometrika, 2024-09, Vol.111 (3), p.881-902

2024

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OPTIMAL RATES OF CONVERGENCE FOR NOISY SPARSE PHASE RETRIEVAL VIA THRESHOLDED WIRTINGER FLOW

Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models

SPARSE PCA: OPTIMAL RATES AND ADAPTIVE ESTIMATION

Two‐sample test of high dimensional means under dependence

Transfer learning for high‐dimensional linear regression: Prediction, estimation and minimax optimality

Minimax and Adaptive Prediction for Functional Linear Regression

The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy

Semisupervised inference for explained variance in high dimensional linear regression and its applications

LIMITING LAWS OF COHERENCE OF RANDOM MATRICES WITH APPLICATIONS TO TESTING COVARIANCE STRUCTURE AND CONSTRUCTION OF COMPRESSED SENSING MATRICES

LIMITING LAWS FOR DIVERGENT SPIKED EIGENVALUES AND LARGEST NONSPIKED EIGENVALUE OF SAMPLE COVARIANCE MATRICES

High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data

Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting

Prediction in Functional Linear Regression

Optimal Permutation Recovery in Permuted Monotone Matrix Model

Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer

Optimal statistical inference for individualized treatment effects in high‐dimensional models

ESTIMATING SPARSE PRECISION MATRIX: OPTIMAL RATES OF CONVERGENCE AND ADAPTIVE ESTIMATION

Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms

OPTIMAL RATES OF CONVERGENCE FOR SPARSE COVARIANCE MATRIX ESTIMATION

Heteroskedastic PCA: Algorithm, optimality, and applications

CHIME: CLUSTERING OF HIGH-DIMENSIONAL GAUSSIAN MIXTURES WITH EM ALGORITHM AND ITS OPTIMALITY

Covariate-assisted ranking and screening for large-scale two-sample inference

Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms, and Statistical Inference

False discovery control in large‐scale spatial multiple testing

Phylogenetic association analysis with conditional rank correlation

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