Anru Zhang
26 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-8721-5252
Department of Biostatistics & Bioinformatics and Department of Computer Science, Duke University, Durham, NC, USA
Publications
- Subtype-Aware Registration of Longitudinal Electronic Health Records — Journal of the American Statistical Association 2026
- Estimating Higher-Order Mixed Memberships via thel2,∞ Tensor Perturbation Bound — Journal of the American Statistical Association 2025
- Mode-wise principal subspace pursuit and matrix spiked covariance model — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- Computational and statistical thresholds in multi-layer stochastic block models — The Annals of Statistics 2024
- Tensor-on-tensor regression: Riemannian optimization, over-parameterization, statistical-computational gap and their interplay — The Annals of Statistics 2024
- Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence — Operations Research 2024
- Guaranteed Functional Tensor Singular Value Decomposition — Journal of the American Statistical Association 2024
- Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Core shrinkage covariance estimation for matrix-variate data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Exact clustering in tensor block model: Statistical optimality and computational limit — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis — Biometrika 2022
- Inference for low-rank tensors—no need to debias — The Annals of Statistics 2022
- Tensor clustering with planted structures: Statistical optimality and computational limits — The Annals of Statistics 2022
- Heteroskedastic PCA: Algorithm, optimality, and applications — The Annals of Statistics 2022
- An optimal statistical and computational framework for generalized tensor estimation — The Annals of Statistics 2022
- Learning Markov Models Via Low-Rank Optimization — Operations Research 2022
- Multisample estimation of bacterial composition matrices in metagenomics data — Biometrika 2020
- Cross: Efficient low-rank tensor completion — The Annals of Statistics 2019
- Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data — Journal of the American Statistical Association 2019
- Semi-supervised inference: General theory and estimation of means — The Annals of Statistics 2019
- Rate-optimal perturbation bounds for singular subspaces with applications to high-dimensional statistics — The Annals of Statistics 2018
- Sequential rerandomization — Biometrika 2018
- Structured Matrix Completion with Applications to Genomic Data Integration — Journal of the American Statistical Association 2016
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization — Journal of the American Statistical Association 2016
- Regression analysis for microbiome compositional data — The Annals of Applied Statistics 2016
- Functional-SVD for Heterogeneous Trajectories: Case Studies in Health* — Journal of the American Statistical Association