Hao Helen Zhang

发表

Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy.

Shikai Luo, Wenbin Lu, Donglin Zeng, 2017, Electronic journal of statistics.

Discussion on “Doubly sparsity kernel learning with automatic variable selection and data extraction”

Hao Helen Zhang, Hao Helen Zhang, 2018 .

kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects

Yves A. Lussier, Haiquan Li, Joanne Berghout, 2017, J. Biomed. Informatics.

Learning in High Dimensions

Bertrand Clarke, Hao Helen Zhang, Ernest Fokoue, 2009 .

Iterative selection using orthogonal regression techniques

Subhashis Ghosal, Hao Helen Zhang, Bradley C. Turnbull, 2013, Stat. Anal. Data Min..

Model Selection for High-Dimensional Quadratic Regression via Regularization

Yang Feng, Hao Helen Zhang, Ning Hao, 2014, 1501.00049.

A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction.

Wenbin Lu, Hao Helen Zhang, Yuan Geng, 2014, Stat.

Bayesian Inference of Odds Ratios in Misclassified Binary Data with a Validation Substudy

Yan D. Zhao, Dewi Rahardja, Hao Helen Zhang, 2010, Commun. Stat. Simul. Comput..

Variable selection via penalized likelihood with adaptive penalty

Wenbin Lu, Hao Helen Zhang, Hao Helen Zhang, 2006 .

A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables

Huan Liu, Yongqiang Tang, Hao Helen Zhang, 2009, Comput. Stat. Data Anal..

On Sparse Estimation for Semiparametric Linear Transformation Models

Hansheng Wang, Wenbin Lu, Hao Helen Zhang, 2010, J. Multivar. Anal..

Variable selection for optimal treatment decision

Wenbin Lu, Donglin Zeng, Hao Helen Zhang, 2013, Statistical methods in medical research.

Model building with likelihood basis pursuit

Michael C. Ferris, Meta M. Voelker, Hao Helen Zhang, 2004, Optim. Methods Softw..

Improved Sparse Multi-Class SVM and Its Application for Gene Selection in Cancer Classification

Pierre R. Bushel, Hao Helen Zhang, Zhao-Bang Zeng, 2013, Cancer informatics.

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

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

eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs

Yves A. Lussier, Jianrong Li, Haiquan Li, 2015, J. Biomed. Informatics.

Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times

Wenbin Lu, Hao Helen Zhang, Na Cai, 2012, Biometrics.

Support Vector Machine Classification for High Dimensional Microarray Data Analysis, With Applications in Cancer Research

Hao Helen Zhang, Hao Helen Zhang, 2009 .

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Joanne Berghout, Yves A Lussier, Hao Helen Zhang, 2020, BMC bioinformatics.

Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Yves A. Lussier, Joanne Berghout, Colleen Kenost, 2020, BMC Bioinform..

Two-Dimensional Solution Surface for Weighted Support Vector Machines

Yichao Wu, Seung Jun Shin, Hao Helen Zhang, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Yves A. Lussier, Joanne Berghout, Colleen Kenost, 2019, BMC Bioinformatics.

Principles and Theory for Data Mining and Machine Learning

Bertrand Clarke, Hao Helen Zhang, Ernest Fokoue, 2009 .

Machine Learning Techniques for Optimizing Design of Double T-Shaped Monopole Antenna

Hao Xin, Hao Helen Zhang, Yashika Sharma, 2020, IEEE Transactions on Antennas and Propagation.

Unsupervised Learning: Clustering

Bertrand Clarke, Hao Helen Zhang, Ernest Fokoue, 2009 .

Consistent Group Identification and Variable Selection in Regression With Correlated Predictors

Hao Helen Zhang, Howard D Bondell, Dhruv B. Sharma, 2013, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Multiclass Probability Estimation With Support Vector Machines

Xin Wang, Yichao Wu, Hao Helen Zhang, 2019, Journal of Computational and Graphical Statistics.

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products

Yves A. Lussier, Hao Helen Zhang, Samir Rachid Zaim, 2020, Journal of personalized medicine.

MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS.

Wenbin Lu, Hao Helen Zhang, Mihye Ahn, 2012, Statistica Sinica.

Supervised Learning: Partition Methods

Bertrand Clarke, Hao Helen Zhang, Ernest Fokoue, 2009 .

Variable selection for multicategory SVM via sup-norm regularization

Ji Zhu, Yichao Wu, Hao Helen Zhang, 2006 .

A Note on High-Dimensional Linear Regression With Interactions

Ning Hao, Hao Helen Zhang, Hao Helen Zhang, 2014, 1412.7138.

Support vector machines with adaptive Lq penalty

Yufeng Liu, Hao Helen Zhang, Cheolwoo Park, 2007, Comput. Stat. Data Anal..

Automatic model selection for partially linear models

Daowen Zhang, Hao Helen Zhang, Xiao Ni, 2009, J. Multivar. Anal..

Gene expression Gene selection using support vector machines with non-convex penalty

Xiaodong Lin, Hao Helen Zhang, Cheolwoo Park, 2005 .

Nonparametric Methods for Big Data Analytics

Hao Helen Zhang, Hao Helen Zhang, 2018 .

Statistical Properties and Adaptive Tuning of Support Vector Machines

Yi Lin, Grace Wahba, Yoonkyung Lee, 2002, Machine Learning.