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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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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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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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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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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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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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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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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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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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Large-scale multiple testing under dependence

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2009-04, Vol.71 (2), p.393-424

2009

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Optimal hypothesis testing for high dimensional covariance matrices

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2013-11, Vol.19 (5B), p.2359-2388

2013

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Optimal detection of heterogeneous and heteroscedastic mixtures

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2011-11, Vol.73 (5), p.629-662

2011

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Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-09, Vol.81 (4), p.707-734

2019

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Transfer learning for nonparametric classification: Minimax rate and adaptive classifier

The Annals of statistics, 2021-02, Vol.49 (1), p.100

2021

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Phenome‐Wide Association Study of Autoantibodies to Citrullinated and Noncitrullinated Epitopes in Rheumatoid Arthritis

Arthritis & rheumatology (Hoboken, N.J.), 2017-04, Vol.69 (4), p.742-749

2017

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OPTIMAL RATES OF CONVERGENCE FOR ESTIMATING THE NULL DENSITY AND PROPORTION OF NONNULL EFFECTS IN LARGE-SCALE MULTIPLE TESTING

The Annals of statistics, 2010-02, Vol.38 (1), p.100-145

2010

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TESTING COMPOSITE HYPOTHESES, HERMITE POLYNOMIALS AND OPTIMAL ESTIMATION OF A NONSMOOTH FUNCTIONAL

The Annals of statistics, 2011-04, Vol.39 (2), p.1012-1041

2011

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GLOBAL TESTING AGAINST SPARSE ALTERNATIVES IN TIME-FREQUENCY ANALYSIS

The Annals of statistics, 2016-08, Vol.44 (4), p.1438-1466

2016

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

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

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

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

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

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

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

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

OPTIMAL RATES OF CONVERGENCE FOR COVARIANCE MATRIX ESTIMATION

Large-scale multiple testing under dependence

Optimal hypothesis testing for high dimensional covariance matrices

Optimal detection of heterogeneous and heteroscedastic mixtures

Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests

Transfer learning for nonparametric classification: Minimax rate and adaptive classifier

Phenome‐Wide Association Study of Autoantibodies to Citrullinated and Noncitrullinated Epitopes in Rheumatoid Arthritis

OPTIMAL RATES OF CONVERGENCE FOR ESTIMATING THE NULL DENSITY AND PROPORTION OF NONNULL EFFECTS IN LARGE-SCALE MULTIPLE TESTING

TESTING COMPOSITE HYPOTHESES, HERMITE POLYNOMIALS AND OPTIMAL ESTIMATION OF A NONSMOOTH FUNCTIONAL

GLOBAL TESTING AGAINST SPARSE ALTERNATIVES IN TIME-FREQUENCY ANALYSIS

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