Cun-Hui Zhang

53 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-7863-7445

Department of Statistics, Rutgers University

Publications

• Simultaneous Decorrelation of Matrix Time Series — Journal of the American Statistical Association 2024
• CP factor model for dynamic tensors — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024 (name-matched, not ORCID-linked)
• Tensor factor model estimation by iterative projection — The Annals of Statistics 2024 (name-matched, not ORCID-linked)
• Debiasing convex regularized estimators and interval estimation in linear models — The Annals of Statistics 2023
• Comments on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” — Journal of the American Statistical Association 2023
• Factor Models for High-Dimensional Tensor Time Series — Journal of the American Statistical Association 2022
• Rejoinder — Journal of the American Statistical Association 2022
• Statistically optimal and computationally efficient low rank tensor completion from noisy entries — The Annals of Statistics 2021
• Second-order Stein: SURE for SURE and other applications in high-dimensional inference — The Annals of Statistics 2021
• Confidence intervals for multiple isotonic regression and other monotone models — The Annals of Statistics 2021 (name-matched, not ORCID-linked)
• Limit distribution theory for block estimators in multiple isotonic regression — The Annals of Statistics 2020
• Isotonic regression in multi-dimensional spaces and graphs — The Annals of Statistics 2020
• Beyond Gaussian approximation: Bootstrap for maxima of sums of independent random vectors — The Annals of Statistics 2020
• On estimation of isotonic piecewise constant signals — The Annals of Statistics 2020
• Sorted concave penalized regression — The Annals of Statistics 2019
• Doubly penalized estimation in additive regression with high-dimensional data — The Annals of Statistics 2019
• Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean — Journal of the American Statistical Association 2018
• Asymptotic normality and optimalities in estimation of large Gaussian graphical models — The Annals of Statistics 2015
• Comment — Journal of the American Statistical Association 2015
• Optimality of Graphlet Screening in High Dimensional Variable Selection — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• Confidence intervals for low dimensional parameters in high dimensional linear models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
• Oracle inequalities for the lasso in the Cox model — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
• Sparse Matrix Inversion with Scaled Lasso — Journal of Machine Learning Research 2013 (name-matched, not ORCID-linked)
• Scaled sparse linear regression — Biometrika 2012 (name-matched, not ORCID-linked)
• Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications — Journal of Machine Learning Research 2012 (name-matched, not ORCID-linked)
• The sparse Laplacian shrinkage estimator for high-dimensional regression — The Annals of Statistics 2011 (name-matched, not ORCID-linked)
• Rate Minimaxity of the Lasso and Dantzig Selector for thelqLoss inlrBalls — Journal of Machine Learning Research 2010 (name-matched, not ORCID-linked)
• Nearly unbiased variable selection under minimax concave penalty — The Annals of Statistics 2010
• Optimal rates of convergence for covariance matrix estimation — The Annals of Statistics 2010 (name-matched, not ORCID-linked)
• Confidence Intervals for Population Ranks in the Presence of Ties and Near Ties — Journal of the American Statistical Association 2009
• A group bridge approach for variable selection — Biometrika 2009 (name-matched, not ORCID-linked)
• General maximum likelihood empirical Bayes estimation of normal means — The Annals of Statistics 2009
• The sparsity and bias of the Lasso selection in high-dimensional linear regression — The Annals of Statistics 2008 (name-matched, not ORCID-linked)
• Concave Learners for Rankboost — Journal of Machine Learning Research 2007 (name-matched, not ORCID-linked)
• General empirical Bayes wavelet methods and exactly adaptive minimax estimation — The Annals of Statistics 2005 (name-matched, not ORCID-linked)
• Estimation of sums of random variables: Examples and information bounds — The Annals of Statistics 2005
• Comment — Journal of the American Statistical Association 2005
• A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data — Journal of the American Statistical Association 2005 (name-matched, not ORCID-linked)
• Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift — The Annals of Statistics 2004 (name-matched, not ORCID-linked)
• Compound decision theory and empirical Bayes methods: invited paper — The Annals of Statistics 2003
• Risk bounds in isotonic regression — The Annals of Statistics 2002 (name-matched, not ORCID-linked)
• Asymptotic equivalence theory for nonparametric regression with random design — The Annals of Statistics 2002
• Least squares estimators of the mode of a unimodal regression function — The Annals of Statistics 2001
• Asymptotic nonequivalence of nonparametric experiments when the smoothness index is ½ — The Annals of Statistics 1998
• Linear regression with interval censored data — The Annals of Statistics 1998
• Linear regression with doubly censored data — The Annals of Statistics 1996 (name-matched, not ORCID-linked)
• On Estimating Mixing Densities in Discrete Exponential Family Models — The Annals of Statistics 1995
• Estimating a Monotone Density from Censored Observations — The Annals of Statistics 1994
• Estimation in the Mean Residual Life Regression Model — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1994
• Asymptotically Efficient Allocation Rules for Two Bernoulli Populations — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1992
• Large Sample Study of Empirical Distributions in a Random-Multiplicative Censoring Model — The Annals of Statistics 1992
• Estimating a multiplicative treatment effect under biased allocation — Biometrika 1991
• Fourier Methods for Estimating Mixing Densities and Distributions — The Annals of Statistics 1990