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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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SEMI-SUPERVISED INFERENCE: GENERAL THEORY AND ESTIMATION OF MEANS

The Annals of statistics, 2019-10, Vol.47 (5), p.2538-2566

2019

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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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Optimal screening and discovery of sparse signals with applications to multistage high throughput studies

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-01, Vol.79 (1), p.197-223

2017

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ADAPTIVE COVARIANCE MATRIX ESTIMATION THROUGH BLOCK THRESHOLDING

The Annals of statistics, 2012-08, Vol.40 (4), p.2014-2042

2012

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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

Minimax and Adaptive Prediction for Functional Linear Regression

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

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

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

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

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

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

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

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

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

Heteroskedastic PCA: Algorithm, optimality, and applications

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

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

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

False discovery control in large‐scale spatial multiple testing

SEMI-SUPERVISED INFERENCE: GENERAL THEORY AND ESTIMATION OF MEANS

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

Optimal screening and discovery of sparse signals with applications to multistage high throughput studies

ADAPTIVE COVARIANCE MATRIX ESTIMATION THROUGH BLOCK THRESHOLDING

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