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Sparse estimation of high-dimensional correlation matrices

Computational statistics & data analysis, 2016-01, Vol.93, p.390-403

2016

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An analysis of penalized interaction models

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2016-08, Vol.22 (3), p.1937-1961

2016

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ASYMPTOTICS IN DIRECTED EXPONENTIAL RANDOM GRAPH MODELS WITH AN INCREASING BI-DEGREE SEQUENCE

The Annals of statistics, 2016-02, Vol.44 (1), p.31-57

2016

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Association between body mass index and chronic kidney disease in men and women: population-based study of Malay adults in Singapore

Nephrology, dialysis, transplantation, 2008-06, Vol.23 (6), p.1910-1918

2008

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VARIABLE SELECTION AND COEFFICIENT ESTIMATION VIA REGULARIZED RANK REGRESSION

Statistica Sinica, 2010-01, Vol.20 (1), p.167-181

Leng, Chenlei

2010

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Covariance estimation via sparse Kronecker structures

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2018-11, Vol.24 (4B), p.3833-3863

2018

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Optimal Subsampling Bootstrap for Massive Data

Journal of business & economic statistics, 2024, Vol.42 (1), p.174-186

2024

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Fallacy of data‐selective inference in modelling networks

Stat (International Statistical Institute), 2022-12, Vol.11 (1), p.n/a

2022

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Provable Subspace Clustering: When LRR Meets SSC

IEEE transactions on information theory, 2019-09, Vol.65 (9), p.5406-5432

2019

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Semiparametric Tail Index Regression

Journal of business & economic statistics, 2022, Vol.40 (1), p.82-95

2022

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STRUCTURED LASSO FOR REGRESSION WITH MATRIX COVARIATES

Statistica Sinica, 2014-04, Vol.24 (2), p.799-814

2014

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Wang and Leng (2016), High‐dimensional ordinary least‐squares projection for screening variables, Journal of the Royal Statistical Society Series B, 78, 589–611

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2021-09, Vol.83 (4), p.880-881

2021

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Nonparametric estimation of large covariance matrices with conditional sparsity

Journal of econometrics, 2021-07, Vol.223 (1), p.53-72

2021

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Dynamic linear discriminant analysis in high dimensional space

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2020-05, Vol.26 (2)

2020

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A quantile regression estimator for censored data

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2013-02, Vol.19 (1), p.344-361

2013

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Discussion of ‘regularized regression for categorical data’ by Tutz and Gertheiss

Statistical modelling, 2016-06, Vol.16 (3), p.217-219

Leng, Chenlei

2016

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Dimension reduction for covariates in network data

Biometrika, 2022-03, Vol.109 (1), p.85-102

2022

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

Computational materials science, 2021-01, Vol.186, p.110053, Article 110053

2021

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LOCAL LINEAR ESTIMATION OF COVARIANCE MATRICES VIA CHOLESKY DECOMPOSITION

Statistica Sinica, 2015-07, Vol.25 (3), p.1249-1263

2015

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Applied regression analysis of correlations for correlated data

The annals of applied statistics, 2024-03, Vol.18 (1)

2024

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A NOTE ON THE LASSO AND RELATED PROCEDURES IN MODEL SELECTION

Statistica Sinica, 2006-10, Vol.16 (4), p.1273-1284

2006

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High dimensional discrimination analysis via a semiparametric model

Statistics & probability letters, 2016-03, Vol.110, p.103-110

2016

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CENSORED QUANTILE REGRESSION VIA BOX-COX TRANSFORMATION UNDER CONDITIONAL INDEPENDENCE

Statistica Sinica, 2014-01, Vol.24 (1), p.221-249

2014

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

Computational biology and chemistry, 2008-12, Vol.32 (6), p.417-425

Leng, Chenlei

2008

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DISCRETE LONGITUDINAL DATA MODELING WITH A MEAN-CORRELATION REGRESSION APPROACH

Statistica Sinica, 2019, Vol.29 (2), p.853-876

2019

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Sparse estimation of high-dimensional correlation matrices

An analysis of penalized interaction models

ASYMPTOTICS IN DIRECTED EXPONENTIAL RANDOM GRAPH MODELS WITH AN INCREASING BI-DEGREE SEQUENCE

Association between body mass index and chronic kidney disease in men and women: population-based study of Malay adults in Singapore

VARIABLE SELECTION AND COEFFICIENT ESTIMATION VIA REGULARIZED RANK REGRESSION

Covariance estimation via sparse Kronecker structures

Optimal Subsampling Bootstrap for Massive Data

Fallacy of data‐selective inference in modelling networks

Provable Subspace Clustering: When LRR Meets SSC

Semiparametric Tail Index Regression

STRUCTURED LASSO FOR REGRESSION WITH MATRIX COVARIATES

Wang and Leng (2016), High‐dimensional ordinary least‐squares projection for screening variables, Journal of the Royal Statistical Society Series B, 78, 589–611

Nonparametric estimation of large covariance matrices with conditional sparsity

Dynamic linear discriminant analysis in high dimensional space

A quantile regression estimator for censored data

Discussion of ‘regularized regression for categorical data’ by Tutz and Gertheiss

Dimension reduction for covariates in network data

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

LOCAL LINEAR ESTIMATION OF COVARIANCE MATRICES VIA CHOLESKY DECOMPOSITION

Applied regression analysis of correlations for correlated data

A NOTE ON THE LASSO AND RELATED PROCEDURES IN MODEL SELECTION

High dimensional discrimination analysis via a semiparametric model

CENSORED QUANTILE REGRESSION VIA BOX-COX TRANSFORMATION UNDER CONDITIONAL INDEPENDENCE

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

DISCRETE LONGITUDINAL DATA MODELING WITH A MEAN-CORRELATION REGRESSION APPROACH

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