Kun Chen

发表

Reduced rank regression via adaptive nuclear norm penalization.

Kung-Sik Chan, Hongbo Dong, Kun Chen, 2012, Biometrika.

Robust errors-in-variables linear regression via Laplace distribution

Kun Chen, Jianhong Shi, Weixing Song, 2014 .

Dipak K Dey, Aditya Mishra, Kun Chen, 2017, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Reduced rank stochastic regression with a sparse singular value decomposition

Kung-Sik Chan, Nils Chr. Stenseth, Kun Chen, 2012 .

Regularized multivariate stochastic regression

Kun Chen, 2011 .

Outlier detection and robust mixture modeling using nonconvex penalized likelihood

W. Yao, Kun Chen, Chun Yu, 2015 .

Title Outlier detection and robust mixture modeling using nonconvex penalized likelihood Permalink

W. Yao, Kun Chen, Chun Yu, 2015 .

Partially Supervised Sparse Factor Regression For Multi-Class Classification

D. Dey, Kun Chen, Chongliang Luo, 2016 .

A note on rank reduction in sparse multivariate regression

Kung-Sik Chan, Kun Chen, 2016, Journal of statistical theory and practice.

The more data, the better? Demystifying deletion-based methods in linear regression with missing data

Kun Chen, Tianchen Xu, Gen Li, 2020, Statistics and Its Interface.

Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models

Kun Chen, Gen Li, Xiaokang Liu, 2018, 1807.10375.

Analysis of Double Single Index Models

Yanyuan Ma, Kun Chen, 2017, Scandinavian journal of statistics, theory and applications.

Fast Stagewise Sparse Factor Regression

Zemin Zheng, Kun Chen, Wanwan Xu, 2022, J. Mach. Learn. Res..

Multivariate log‐contrast regression with sub‐compositional predictors: Testing the association between preterm infants' gut microbiome and neurobehavioral outcomes

Xiaomei Cong, Xiaokang Liu, Gen Li, 2020, Statistics in medicine.

It's All Relative: New Regression Paradigm for Microbiome Compositional Data

Yan Li, Gen Li, Kun Chen, 2020, 2011.05951.

Subset ARMA selection via the adaptive Lasso

Kung-Sik Chan, Kun Chen, Kung-Sik Chan, 2011 .

Efficient interaction selection for clustered data via stagewise generalized estimating equations

Jun Yan, Robert Aseltine, Kun Chen, 2020, Statistics in medicine.

A Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent Strains of Clostridium Perfringens

Ming-Hui Chen, L. Kuo, E. Schifano, 2018, Journal of the American Statistical Association.

Stagewise generalized estimating equations with grouped variables

Jun Yan, Robert Aseltine, Gregory Vaughan, 2017, Biometrics.

A new method for robust mixture regression

Weixin Yao, Chun Yu, Kun Chen, 2017, The Canadian journal of statistics = Revue canadienne de statistique.

Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection pdf

Jeff T. Linderoth, Kun Chen, Hongbo Dong, 2015, ArXiv.

Barriers to HIV Medication Adherence as a Function of Regimen Simplification

Kun Chen, S. Kalichman, Yiyun Chen, 2017, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

A soft subspace clustering algorithm with log-transformed distances

Kun Chen, Guojun Gan, Guojun Gan, 2015 .

Integrative multi‐view regression: Bridging group‐sparse and low‐rank models

Xiaokang Liu, Kun Chen, Gen Li, 2019, Biometrics.

Leveraging mixed and incomplete outcomes via reduced-rank modeling

Fei Wang, Changshui Zhang, Dipak K. Dey, 2018, J. Multivar. Anal..

Embracing study heterogeneity for finding genetic interactions in large‐scale research consortia

Jing Huang, Elisabetta Manduchi, Casey S Greene, 2019, Genetic epidemiology.

Mixture of linear mixed models using multivariate t distribution

W. Yao, Kun Chen, Xiuqin Bai, 2016 .

Pursuing sources of heterogeneity in modeling clustered population pdf

Chun Yu, Kun Chen, Weixin Yao, 2020, Biometrics.

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease

Fei Wang, Xi Zhang, Jiayu Zhou, 2018, AMIA.

LOG-CONTRAST REGRESSION WITH FUNCTIONAL COMPOSITIONAL PREDICTORS: LINKING PRETERM INFANT'S GUT MICROBIOME TRAJECTORIES TO NEUROBEHAVIORAL OUTCOME.

Kun Chen, X. Cong, Wanli Xu, 2018, The annals of applied statistics.

Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories in Early Postnatal Period to Neurobehavioral Outcome

Wanli Xu, Xiaomei Cong, Kun Chen, 2018, 1808.02403.

Bayesian sparse reduced rank multivariate regression

Dipak K. Dey, Kun Chen, Gyuhyeong Goh, 2017, J. Multivar. Anal..

Spatial Tweedie exponential dispersion models: an application to insurance rate-making

D. Dey, Shariq Mohammed, Kun Chen, 2020, 2003.06299.

Learning Phenotypic Associations for Parkinson’s Disease with Longitudinal Clinical Records

Kun Chen, Chang Su, C. Henchcliffe, 2020 .

Boosted Sparse and Low-Rank Tensor Regression

Jiayu Zhou, Lifang He, Kun Chen, 2018, NeurIPS.

Model diagnostics in reduced-rank estimation.

Kun Chen, Kun Chen, 2016, Statistics and its interface.

It’s all relative: Regression analysis with compositional predictors

Kun Chen, Gen Li, Yan Li, 2022, Biometrics.

Robust finite mixture regression for heterogeneous targets

Fei Wang, Changshui Zhang, Ming Lin, 2018, Data Mining and Knowledge Discovery.

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix pdf

Kun Chen, Wanwan Xu, Zeming Zheng, 2020, ArXiv.

Generalized co-sparse factor regression

Yong Chen, Dipak K. Dey, Kun Chen, 2020, Comput. Stat. Data Anal..

Robust reduced-rank regression

Y. She, Kun Chen, K. Chen, 2015, Biometrika.

LINKING LUNG AIRWAY STRUCTURE TO PULMONARY FUNCTION VIA COMPOSITE BRIDGE REGRESSION.

Kung-Sik Chan, Eric A Hoffman, Ching-Long Lin, 2016, The annals of applied statistics.

The more data, the better? Demystifying deletion-based methods in linear regression with missing data.

Kun Chen, Tianchen Xu, Gen Li, 2020, Statistics and its interface.