Chenlei Leng

发表

On General Adaptive Sparse Principal Component Analysis

Hansheng Wang, Chenlei Leng, Chenlei Leng, 2008 .

Rank-based variable selection with censored data

Chenlei Leng, Jinfeng Xu, Zhiliang Ying, 2010, Stat. Comput..

Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data

Chenlei Leng, Chenlei Leng, 2008, Comput. Biol. Chem..

Sparse estimation of high-dimensional correlation matrices

Ying Cui, Defeng Sun, Chenlei Leng, 2016, Comput. Stat. Data Anal..

No penalty no tears: Least squares in high-dimensional linear models

Xiangyu Wang, David B. Dunson, Chenlei Leng, 2015, ICML.

Bayesian adaptive Lasso

Chenlei Leng, Minh Ngoc Tran, David Nott, 2010, Annals of the Institute of Statistical Mathematics.

A Direct Approach for Sparse Quadratic Discriminant Analysis

Xiangyu Wang, Chenlei Leng, Binyan Jiang, 2015, J. Mach. Learn. Res..

STRUCTURED LASSO FOR REGRESSION WITH MATRIX COVARIATES

Chenlei Leng, Junlong Zhao, Chenlei Leng, 2014 .

Provable Subspace Clustering: When LRR Meets SSC

Huan Xu, Yu-Xiang Wang, Chenlei Leng, 2013, IEEE Transactions on Information Theory.

Robust Multi-task Regression with Grossly Corrupted Observations

Huan Xu, Chenlei Leng, 2012, AISTATS.

On the consistency theory of high dimensional variable screening

Xiangyu Wang, David B. Dunson, Chenlei Leng, 2015, NIPS.

Gradient-based kernel method for feature extraction and variable selection

Kenji Fukumizu, Chenlei Leng, K. Fukumizu, 2012, NIPS.

Statistical Inference in a Directed Network Model With Covariates

Stephen E. Fienberg, Chenlei Leng, Binyan Jiang, 2016, Journal of the American Statistical Association.

Computational Statistics and Data Analysis a Note on Adaptive Group Lasso

Hansheng Wang, Chenlei Leng, Chenlei Leng, 2022 .

Gradient-based kernel dimension reduction for supervised learning pdf

Kenji Fukumizu, Chenlei Leng, 2011, ArXiv.

Convex Optimization Procedure for Clustering: Theoretical Revisit

Shuicheng Yan, Huan Xu, Chenlei Leng, 2014, NIPS.

Analysis of networks via the sparse β ‐model

Chenlei Leng, Mingli Chen, Kengo Kato, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Parametric variable selection in generalized partially linear models with an application to assess condom use by HIV‐infected patients

Chenlei Leng, Hua Liang, Neil Martinson, 2011, Statistics in medicine.

Multiple influential point detection in high dimensional regression spaces

Chenlei Leng, Junlong Zhao, Chao Liu, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Smoothing combined estimating equations in quantile regression for longitudinal data

Weiping Zhang, Chenlei Leng, Chenlei Leng, 2014, Stat. Comput..

A guided analytics tool for feature selection in steel manufacturing with an application to blast furnace top gas efficiency

Chenlei Leng, Michel F. Randrianandrasana, Stefan Stein, 2021, Computational Materials Science.

Bayesian projection approaches to variable selection in generalized linear models

David J. Nott, Chenlei Leng, Chenlei Leng, 2010, Comput. Stat. Data Anal..

Variational approximation for heteroscedastic linear models and matching pursuit algorithms

David J. Nott, Chenlei Leng, Minh-Ngoc Tran, 2010, Stat. Comput..

Xiangyu Wang, David B. Dunson, Chenlei Leng, 2016, NIPS.

The predictive Lasso

David J. Nott, Chenlei Leng, Minh-Ngoc Tran, 2010, Stat. Comput..

A Sparse Random Graph Model for Sparse Directed Networks

Chenlei Leng, Stefan Stein, Chenlei Leng, 2022 .

Nonparametric estimation of large covariance matrices with conditional sparsity

Hanchao Wang, Chenlei Leng, Bin Peng, 2021, Journal of Econometrics.

Regression Analysis of Correlations for Correlated Data

Chenlei Leng, University of Warwick, Temple University, 2021 .

Dimension reduction for covariates in network data

Chenlei Leng, Junlong Zhao, Hansheng Wang, 2021, Biometrika.

An empirical likelihood approach to quantile regression with auxiliary information

Chenlei Leng, Cheng Yong Tang, Chenlei Leng, 2012 .

A moving average Cholesky factor model in covariance modelling for longitudinal data

Chenlei Leng, Weiping Zhang, Chenlei Leng, 2012 .

High dimensional ordinary least squares projection for screening variables

Chenlei Leng, Chenlei Leng, Xiangyu Wang, 2015, 1506.01782.

Penalized empirical likelihood and growing dimensional general estimating equations

Chenlei Leng, Cheng Yong Tang, Chenlei Leng, 2012 .

The Residual Information Criterion, Corrected

Chenlei Leng, Chenlei Leng, 2007, 0711.1918.

Path consistent model selection in additive risk model via Lasso

Chenlei Leng, Shuangge Ma, Chenlei Leng, 2007, Statistics in medicine.

Bayesian projection approaches to variable selection and exploring model uncertainty

Chenlei Leng, David Nott, Chenlei Leng, 2009, 0901.4605.

A quantile regression estimator for censored data

Chenlei Leng, Xingwei Tong, Chenlei Leng, 2013, 1302.0181.

High dimensional discrimination analysis via a semiparametric model

Chenlei Leng, Binyan Jiang, 2016 .

Dynamic Covariance Models

Chenlei Leng, Ziqi Chen, Chenlei Leng, 2016 .

Multiple Influential Point Detection in High-Dimensional Spaces

Chao Liu, Chenlei Leng, Junlong Zhao, 2016, 1609.03320.

Empirical likelihood and quantile regression in longitudinal data analysis

Chenlei Leng, Cheng Yong Tang, Chenlei Leng, 2011 .

A joint modelling approach for longitudinal studies

Chenlei Leng, Weiping Zhang, Cheng Yong Tang, 2015 .

An analysis of penalized interaction models

Chenlei Leng, Junlong Zhao, Chenlei Leng, 2016, 1603.09138.

Local linear estimation of covariance matrices via Cholesky decomposition

Chenlei Leng, Ziqi Chen, 2015 .

Least squares approximation with a diverging number of parameters

Chenlei Leng, Bo Li, Chenlei Leng, 2010 .

Dynamic linear discriminant analysis in high dimensional space

Chenlei Leng, Ziqi Chen, Binyan Jiang, 2017, Bernoulli.

Penalized high-dimensional empirical likelihood

Chenlei Leng, Cheng Yong Tang, Chenlei Leng, 2010 .

High Dimensional Influence Measure

Chenlei Leng, Junlong Zhao, Lexin Li, 2013, 1311.6636.

A simple approach for varying-coefficient model selection

Chenlei Leng, Chenlei Leng, 2009 .

VARIABLE SELECTION AND COEFFICIENT ESTIMATION VIA REGULARIZED RANK REGRESSION

Chenlei Leng, Chenlei Leng, 2010 .

Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data

Chenlei Leng, Weiping Zhang, Jianxin Pan, 2009 .