H. Zou

发表

Regularization and variable selection via the elastic net

H. Zou, T. Hastie, 2005 .

The Adaptive Lasso and Its Oracle Properties

H. Zou, 2006 .

Multi-class AdaBoost ∗

Trevor Hastie, Ji Zhu, Hui Zou, 2009 .

The Margin Vector , Admissible Loss and Multi-class Margin-based Classifiers

H. Zou, 2005 .

Sparse Principal Component Analysis

R. Tibshirani, H. Zou, T. Hastie, 2006 .

On the “degrees of freedom” of the lasso

R. Tibshirani, H. Zou, T. Hastie, 2007, 0712.0881.

The doubly regularized support vector machine

H. Zou, Ji Zhu, Li Wang, 2006 .

Structured variable selection and estimation

H. Zou, M. Yuan, V. R. Joseph, 2009, 1011.0610.

One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.

H. Zou, Runze Li, 2008, Annals of statistics.

STRONG ORACLE OPTIMALITY OF FOLDED CONCAVE PENALIZED ESTIMATION.

H. Zou, Jianqing Fan, Lingzhou Xue, 2012, Annals of statistics.

Regularized rank-based estimation of high-dimensional nonparanormal graphical models

H. Zou, Lingzhou Xue, 2012, 1302.3082.

Rank-based tapering estimation of bandable correlation matrices

H. Zou, Lingzhou Xue, 2013 .

Addendum: Regularization and variable selection via the elastic net

H. Zou, T. Hastie, 2005 .

A note on path-based variable selection in the penalized proportional hazards model

H. Zou, 2008 .

ON THE ADAPTIVE ELASTIC-NET WITH A DIVERGING NUMBER OF PARAMETERS.

Hao Helen Zhang, H. Zou, 2009, Annals of statistics.

Regression Shrinkage and Selection via the Elastic Net , with Applications to Microarrays

H. Zou, T. Hastie, 2003 .

Sure independence screening for ultrahigh dimensional feature space Discussion

Jeffrey S. Morris, Gareth M. James, Hao Helen Zhang, 2008 .

A direct approach to sparse discriminant analysis in ultra-high dimensions

H. Zou, M. Yuan, Qing Mai, 2012 .

Nonconcave penalized composite conditional likelihood estimation of sparse Ising models

H. Zou, Lingzhou Xue, T. Cai, 2012, 1208.3555.

The F ∞ -norm support vector machine

H. Zou, Yuan Ming, 2008 .

NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES.

H. Zou, T. Hastie, Ji Zhu, 2008, The annals of applied statistics.

Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices

H. Zou, Shiqian Ma, Lingzhou Xue, 2012, 1208.5702.

Composite quantile regression and the oracle Model Selection Theory

H. Zou, M. Yuan, 2008, 0806.2905.

An Efficient Algorithm for Computing the HHSVM and Its Generalizations

H. Zou, Yi Yang, 2013 .

Hybrid huberized support vector machines for microarray classification

Li Wang, Ji Zhu, Hui Zou, 2007, ICML '07.

Discussion of “Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation”

H. Zou, 2016 .

High dimensional semiparametric latent graphical model for mixed data

H. Zou, Jianqing Fan, Han Liu, 2014, 1404.7236.

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning

Ji Zhu, Hui Zou, Trevor J. Hastie, 2004, NIPS.

Sparse precision matrix estimation via lasso penalized D-trace loss

H. Zou, Teng Zhang, 2014 .

Automatic Bias Correction Methods in Semi-supervised Learning

H. Zou, T. Hastie, Ji Zhu, 2019 .

Automatic Bayes Carpentry Using Unlabeled Data in Semi-Supervised Classification

H. Zou, 2022 .

High-dimensional generalizations of asymmetric least squares regression and their applications

H. Zou, Yuwen Gu, 2016 .

Chapter 2 VARIABLE SELECTION FOR THE LINEAR SUPPORT VECTOR MACHINE

H. Zou, Ji Zhu, 2018 .

Optimal estimation of sparse correlation matrices of semiparametric Gaussian copulas

H. Zou, Lingzhou Xue, 2014 .

Another look at distance‐weighted discrimination

H. Zou, Boxiang Wang, 2018 .

Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS

H. Zou, Boxiang Wang, 2015, 1508.05913.

A cocktail algorithm for solving the elastic net penalized Cox’s regression in high dimensions

H. Zou, Yi Yang, 2013 .

NORM SUPPORT VECTOR MACHINE

Hui Zou, Ming Yuan, H. Zou, 2008 .

Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models

Hui Zou, Wei Qian, H. Zou, 2015, 1508.06378.

THE DOUBLY REGULARIZED SUPPORT VECTOR MACHINE 591 model (

H. Zou, Ji Zhu, Li Wang, 2006 .

Neural indices of phonemic discrimination and sentence-level speech intelligibility in quiet and noise: A mismatch negativity study

Hui Zou, Peggy B. Nelson, Yang Zhang, 2016, Hearing Research.

Sure independence screening and compressed random sensing

Hui Zou, Lingzhou Xue, H. Zou, 2011 .

Bayesian Inference for High Dimensional Changing Linear Regression with Application to Minnesota House Price Index Data

H. Zou, Sudipto Banerjee, A. Datta, 2015, 1510.07129.

Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices

H. Zou, Lingzhou Xue, Danning Li, 2018 .

The Kolmogorov filter for variable screening in high-dimensional binary classification

Hui Zou, Qing Mai, H. Zou, 2013 .

Profiled adaptive Elastic-Net procedure for partially linear models with high-dimensional covariates

H. Zou, Hua Liang, Baicheng Chen, 2012 .

Statistica Sinica Preprint

H. Zou, Yuwen Gu, 2017 .

A Boosted Tweedie Compound Poisson Model for Insurance Premium

Wei Qian, Yi Yang, Hui Zou, 2015 .

VARIABLE SELECTION FOR THE LINEAR SUPPORT VECTOR MACHINE

H. Zou, Ji Zhu, 2020 .

Nonparametric multiple expectile regression via ER-Boost

Hui Zou, H. Zou, Yi Yang, 2015 .

Group Lasso Penalized Learning Using a Unified BMD Algorithm [R package gglasso version 1.5]

H. Zou, Yi Yang, S. Bhatnagar, 2020 .

Real-world Performance of Meta-analysis Methods for Double-Zero-Event Studies with Dichotomous Outcomes Using the Cochrane Database of Systematic Reviews

H. Zou, H. Chu, Lifeng Lin, 2019, Journal of General Internal Medicine.

One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.

H. Zou, Runze Li, 2008, Annals of statistics.

Semiparametric Sparse Discriminant Analysis

H. Zou, Qing Mai, 2013, 1304.4983.

High-dimensional Censored Regression via the Penalized Tobit Likelihood

H. Zou, Tate Jacobson, 2022, 2203.02601.

Local CQR Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression.

H. Zou, Runze Li, Bo Kai, 2010, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Asymptotic Properties of SURE Information Criteria for Large Covariance Matrices

H. Zou, Danning Li, 2014 .

Supplementary materials for “ Non-concave Penalized Composite Likelihood Estimation of Sparse Ising Models ”

Hui Zou, Tianxi Cai, Lingzhou Xue, 2012 .

Structured variable selection in support vector machines

Hui Zou, Ming Yuan, H. Zou, 2007, 0710.0508.

Multivariate Regression via Enhanced Response Envelope: Envelope Regularization and Double Descent

H. Zou, Oh-Ran Kwon, 2023, 2301.04625.

Neural indices of phonemic discrimination and sentence-level speech intelligibility in quiet and noise: A P3 study

Hui Zou, Peggy B. Nelson, Yang Zhang, 2017, Hearing Research.

Synthesis, characterization, DNA-binding and cleavage studies of [Ru(bpy)2(actatp)]2+ and [Ru(phen)2(actatp)]2+ (actatp=acenaphthereno[1,2-b]-1,4,8,9-tetraazariphenylence).

H. Zou, L. Qu, Hong Li, 2003, Journal of inorganic biochemistry.

Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers

Boxiang Wang, Hui Zou, H. Zou, 2021, Technometrics.

Computational Statistics and Data Analysis Regularized Simultaneous Model Selection in Multiple Quantiles Regression

Hui Zou, Ming Yuan, H. Zou, 2022 .

CoCoLasso for High-dimensional Error-in-variables Regression

Hui Zou, Abhirup Datta, H. Zou, 2015, 1510.07123.

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces

Yi Yang, Hui Zou, Teng Zhang, 2015, Technometrics.

Multitask Quantile Regression Under the Transnormal Model

Hui Zou, Jianqing Fan, Lingzhou Xue, 2016, Journal of the American Statistical Association.

Sparse semiparametric discriminant analysis

Hui Zou, Qing Mai, H. Zou, 2015, J. Multivar. Anal..

A note on path-based variable selection in the penalized proportional hazards model

Hui Zou, H. Zou, 2008 .

Variable selection for non‐parametric quantile regression via smoothing spline analysis of variance

Hao Helen Zhang, Hui Zou, Chen-Yen Lin, 2013, Stat.

Comment: Ridge Regression—Still Inspiring After 50 Years

Hui Zou, H. Zou, 2020, Technometrics.

THE DOUBLY REGULARIZED SUPPORT

H. Zou, Ji Zhu, Li Wang, 2006 .

RANK-BASED ESTIMATION OF NONPARANORMAL GRAPHICAL MODELS 2543 TABLE 1 Testing for normality of the gene expression measurements in the Arabidposis thaliana data

LINGZHOU XUE, HUI ZOU, H. Zou, 2013 .

A fast unified algorithm for solving group-lasso penalize learning problems

Yi Yang, Hui Zou, H. Zou, 2014, Statistics and Computing.

High-Dimensional Classification

Hui Zou, H. Zou, 2018 .

Sparse Distance Weighted Discrimination

Hui Zou, Boxiang Wang, H. Zou, 2015, 1501.06066.

A Note On the Connection and Equivalence of Three Sparse Linear Discriminant Analysis Methods

Hui Zou, Qing Mai, H. Zou, 2013, Technometrics.

A coordinate majorization descent algorithm for ℓ1 penalized learning

H. Zou, Yi Yang, 2014 .

On Varying-coefficient Independence Screening for High-dimensional Varying-coefficient Models.

Feng Yi, Hui Zou, Rui Song, 2014, Statistica Sinica.

Sparse Composite Quantile Regression in Ultrahigh Dimensions With Tuning Parameter Calibration

Hui Zou, Yuwen Gu, H. Zou, 2020, IEEE Transactions on Information Theory.

A simple method to improve principal components regression

Hui Zou, H. Zou, Wenjun Lang, 2020, Stat.

Statistical Foundations of Data Science

Runze Li, Jianqing Fan, Cun-Hui Zhang, 2020 .

A Note on Cross-Validation for Lasso Under Measurement Errors

Abhirup Datta, Hui Zou, H. Zou, 2019, Technometrics.

NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS.

Runze Li, Hui Zou, H. Zou, 2011, Annals of statistics.

Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models

Hui Zou, Ming Yuan, Lingyan Ruan, 2011, Neural Computation.

Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection

Shiqian Ma, Hui Zou, Lingzhou Xue, 2012, Neural Computation.

An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis

Shiqian Ma, Hui Zou, Shixiang Chen, 2020, INFORMS J. Optim..

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA pdf

Shiqian Ma, Hui Zou, Shixiang Chen, 2019, ArXiv.

High-dimensional Censored Regression via the Penalized Tobit Likelihood

H. Zou, Tate Jacobson, 2022, Journal of Business & Economic Statistics.

Hybrid huberized support vector machines for microarray classification and gene selection

Li Wang, Ji Zhu, Hui Zou, 2008, Bioinform..

Tweedie’s Compound Poisson Model With Grouped Elastic Net

Hui Zou, Wei Qian, H. Zou, 2016 .

A Selective Overview of Sparse Principal Component Analysis

Lingzhou Xue, Hui Zou, H. Zou, 2018, Proceedings of the IEEE.

A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification

Boxiang Wang, Hui Zou, H. Zou, 2019, Technometrics.

The fused Kolmogorov filter: A nonparametric model-free screening method

Hui Zou, Qing Mai, H. Zou, 2014, 1403.7701.

A Penalized Maximum Likelihood Approach to Sparse Factor Analysis

Hui Zou, J Choi, G Oehlert, 2010 .

The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response

Xin Zhang, Hui Zou, Qing Mai, 2020, J. Mach. Learn. Res..

Covariance Regularization and Graphical Models

Runze Li, Cun-Hui Zhang, Jianqing Fan, 2020 .

Aggregated expectile regression by exponential weighting

H. Zou, Yuwen Gu, 2018 .

Local composite quantile regression smoothing: an efficient and safe alternative to local polynomial regression

Runze Li, Hui Zou, H. Zou, 2010 .

Classification with high dimensional features

Hui Zou, H. Zou, 2018, WIREs Computational Statistics.

Bayesian High-Dimensional Regression for Change Point Analysis.

Sw. Banerjee, Abhirup Datta, Hui Zou, 2019, Statistics and its interface.

Enveloped Huber Regression.

H. Zou, R. Cook, Le Zhou, 2020, 2011.00119.

Variable Selection

Cees G. M. Snoek, H. Zou, T. Hastie, 2019, Model-Based Clustering and Classification for Data Science.

Semiparametric Sparse Discriminant Analysis

Hui Zou, Qing Mai, H. Zou, 2013 .

Multiclass Sparse Discriminant Analysis

Yi Yang, Qing Mai, Hui Zou, 2015, 1504.05845.

SURE Information Criteria for Large Covariance Matrix Estimation and Their Asymptotic Properties

Hui Zou, Danning Li, H. Zou, 2014, IEEE Transactions on Information Theory.

Sparse semiparametric discriminant analysis

H. Zou, Qing Mai, 2013, J. Multivar. Anal..

An Efficient Algorithm for Computing the HHSVM and Its Generalizations

H. Zou, Yi Yang, 2013 .

Efficient Global Approximation of Generalized Nonlinear ℓ1-Regularized Solution Paths and Its Applications

Hui Zou, Ming Yuan, H. Zou, 2009 .

COCOLASSO FOR HIGH-DIMENSIONAL ERROR-IN-VARIABLES REGRESSION BY ABHIRUP DATTA

H. Zou, 2017 .

Variable Selection for the Linear Support Vector Machine

Ji Zhu, Hui Zou, H. Zou, 2007, Trends in Neural Computation.

Hybrid huberized support vector machines for microarray classification and gene selection

H. Zou, Ji Zhu, Li Wang, 2008, Bioinform..

Density-Convoluted Support Vector Machines for High-Dimensional Classification

H. Zou, Yuwen Gu, Boxiang Wang, 2023, IEEE Transactions on Information Theory.

Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error

H. Zou, Boxiang Wang, 2021, Stat.

Generalizing Koenker's distribution

H. Zou, 2014 .

Semi-supervised dimensionality reduction via sparse locality preserving projection

Junyan Tan, Hui Zou, Huijie Guo, 2020, Applied Intelligence.

Appendix to A note on cross-validation for Lasso under measurement errors

H. Zou, A. Datta, 2019 .

High Dimensional Inference

H. Zou, Cun-Hui Zhang, Jianqing Fan, 2020 .

SURE-tuned tapering estimation of large covariance matrices

Feng Yi, Hui Zou, H. Zou, 2013, Comput. Stat. Data Anal..