Kun Chen
Professor/Statistics

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Scholarly Contributions

147 Scholarly Contributions

111
Journal Articles
24
Poster/Presentations
4
Technologys
3
Conference Proceedings
2
Other Scholarly Works
2
Books
1
Book Chapter
Sparse orthogonal factor regression in high dimensions with an application to eQTL data analysis
2014
Kun Chen
Research Type: Poster/Presentation

Sparse orthogonal factor regression
2014
Kun Chen
Research Type: Poster/Presentation

Consistent bi-level variable selection via composite bridge regression
2014
Kun Chen
Research Type: Poster/Presentation

Reduced rank regression via adaptive nuclear norm penalization
2013
Hongbo Dong, Kung-Sik Chan, Kun Chen
Research Type: Journal Article

Source-sink reconstruction through regularized multi-component regression
2013
Kun Chen
Research Type: Poster/Presentation

Research highlights in statistical ecology
2013
Kun Chen
Research Type: Poster/Presentation

Adaptive svd soft-thresholding estimators in multivariate regression
2012
Kung-Sik Chan, Hongbo Dong, Kun Chen
Research Type: Journal Article

A probabilistic cellular automata approach for predator–prey interactions of arrowtooth flounder (Atheresthes stomias) and walleye pollock (Theragra chalcogramma) in the eastern Bering Sea
2012
Kevin M Bailey, Kun Chen, Lorenzo Ciannelli, Kerim Aydin, Kung-Sik Chan
Research Type: Journal Article

Reduced rank stochastic regression with a sparse singular value decomposition
2012
Kun Chen, Kung-Sik Chan, Nils Chr Stenseth
Research Type: Journal Article

Functional responses and scaling in predator–prey interactions of marine fishes: contemporary issues and emerging concepts
2011
Lorenzo Ciannelli, Timothy E Essington, Richard D Brodeur, Kun Chen, Todd W Anderson, J Wilson White, Sarah Gaichas, Kevin M Bailey, Jeffrey A Buckel, Mary E Hunsicker, Kung-Sik Chan, Jason S Link
Research Type: Journal Article

Subset ARMA selection via the adaptive Lasso
2011
Kun Chen, Kung-Sik Chan
Research Type: Journal Article

Regularized multivariate stochastic regression
2011
Kun Chen
Research Type: Other Scholarly Work

A note on some algorithms for the Gibbs posterior
2010
Wenxin Jiang, Kun Chen, Martin A Tanner
Research Type: Journal Article

Multi-view graph convolutional network and its applications on neuroimage analysis for Parkinson's disease
Kun Chen, Yuan Luo, Lifang He, Jiayu Zhou, Xi Zhang, Fei Wang
Research Type: Conference Proceedings

Assessing big data from lung CT imaging in search of insights into causal and resultant structure-function relationships in Asthma
Ching-Long Lin, Kung-Sik Chan, Mario Castro, Sally E. Wenzel, Kun Chen, Eric A. Hoffman
Research Type: Journal Article

Using hospitalization and suicide mortality data to predict suicide risk via survival modeling
Robert H Aseltine, Kun Chen, Fei Wang
Research Type: Journal Article

Comparison of reprogramming methods by single cell analysis identifies premature viral inactivation as a barrier to successful reprogramming and reveals a common reprogramming trajectory between cell types
Elizabeth Schifano, Craig Nelson, Ion I Mandoiu, Frederick W. Kolling IV, Ofer Harel, Kun Chen, Haim Bar, Kyung-Min Chung
Research Type: Journal Article

Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories to Neurobehavioral Outcome
Wanli Xu, Kun Chen, Zhe Sun, Xiaomei Cong, G Li
Research Type: Journal Article

Regularization vs. relaxation: a conic approach to variable selection in linear regression
Jeff Linderoth, Hongbo Dong, Kun Chen
Research Type: Journal Article

http://www.optimization-online.org/DB_HTML/2015/05/4932.html
Boosted sparse and low-rank tensor regression
Kun Chen, Jiayu Zhou, Lifang He, Wanwan Xu, Fei Wang
Research Type: Journal Article