UB Paderborn / Katalog / Suche / in CDI

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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Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise

IEEE transactions on information theory, 2011-07, Vol.57 (7), p.4680-4688

2011

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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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RATE-OPTIMAL PERTURBATION BOUNDS FOR SINGULAR SUBSPACES WITH APPLICATIONS TO HIGH-DIMENSIONAL STATISTICS

The Annals of statistics, 2018-02, Vol.46 (1), p.60-89

2018

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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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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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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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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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Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices

IEEE transactions on information theory, 2014-01, Vol.60 (1), p.122-132

2014

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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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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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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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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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CONFIDENCE INTERVALS FOR HIGH-DIMENSIONAL LINEAR REGRESSION: MINIMAX RATES AND ADAPTIVITY

The Annals of statistics, 2017-04, Vol.45 (2), p.615-646

2017

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Testing differential networks with applications to the detection of gene-gene interactions

Biometrika, 2015-06, Vol.102 (2), p.247-266

2015

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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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ROP: MATRIX RECOVERY VIA RANK-ONE PROJECTIONS

The Annals of statistics, 2015-02, Vol.43 (1), p.102-138

2015

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Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2171-2183

2023

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Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1319-1332

2023

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

Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise

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

RATE-OPTIMAL PERTURBATION BOUNDS FOR SINGULAR SUBSPACES WITH APPLICATIONS TO HIGH-DIMENSIONAL STATISTICS

SPARSE PCA: OPTIMAL RATES AND ADAPTIVE ESTIMATION

Two‐sample test of high dimensional means under dependence

Minimax and Adaptive Prediction for Functional Linear Regression

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

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

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

Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices

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

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

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

CONFIDENCE INTERVALS FOR HIGH-DIMENSIONAL LINEAR REGRESSION: MINIMAX RATES AND ADAPTIVITY

Testing differential networks with applications to the detection of gene-gene interactions

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

ROP: MATRIX RECOVERY VIA RANK-ONE PROJECTIONS

Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control

Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes

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

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

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