Refereed Journal Papers

• Zou, H. (2008). Discussion of ``Sure independence screening for ultra-high dimensional feature space'' By Fan and Lv (2008), Journal of Royal Statistical Society, Series B. PDF


• Zou, H., Zhu, J. and Hastie, T. (2008). New Multicategory Boosting Algorithms Based on Multicategory Fisher Consistent Losses. Annals of Applied Statistics, to appear. PDF


• Zou, H. and Zhang, H. H. (2008). On The Adaptive Elastic-Net With A Diverging Number of Parameters. The Annals of Statistics, to appear. PDF


• Wu, S., Zou, H. and Yuan, M. (2008). Structured Variable Selection in Support Vector Machines. Electronic Journal of Statistics, 2, 103-117. PDF


• Zou, H. and Yuan, M. (2008). Regularized Simultaneous Model Selection in Multiple Quantiles Regression. Computational Statistics and Data Analysis, 52, 5296-5304. PDF


• Wang, L., Zhu, J. and Zou, H. (2008). Hybrid Huberized Support Vector Machines for Microarray Classification and Gene Selection. Bioinformatics, 24(3), 412-419. PDF


• Zou, H. and Yuan, M. (2008). Composite Quantile Regression and The Oracle Model Selection Theory. The Annals of Statistics, 36(3), 1108-1126. PDF


• Zou, H. and Li, R. (2008). One-step Sparse Estimates in Nonconcave Penalized Likelihood Models. The Annals of Statistics (with discussion), 36(4), 1509-1533. PDF Rejoinder


• Zou, H. (2008). A Note on Path-based Variable Selection in The Penalized Proportional Hazards Model. Biometrika, 95, 241-247. PDF


• Zou, H. and Yuan, M. (2008). The F-infinity-norm Support Vector Machine. Statistica Sinica, 18, 379-398. PDF


• Zou, H. (2006). The Adaptive Lasso and its Oracle Properties. Journal of the American Statistical Association, 101(476), 1418-1429. PDF An Interview with ScienceWatch.com(Thomson Scientific)


• Wang, L. and Zhu, J. and Zou, H. (2006). The Doubly Regularized Support Vector Machine. Statistica Sinica, 16(2), 589-616. PDF


• Zou, H., Hastie, T. and Tibshirani, R. (2007). On the Degrees of Freedom of the Lasso. The Annals of Statistics, 35(5) 2173-2192. PDF


• Zou, H., Hastie, T. and Tibshirani, R. (2006). Sparse Principal Component Analysis. Journal of Computational and Graphical Statistics, 15(2), 265-286. PDF


• Daniels, M. and Zhou, Z. and Zou, H. (2006). Conditionally Specified Space-Time Models for Multivariate Processes. Journal of Computational and Graphical Statistics, 15(1), 157-177. PDF


• Zou, H. and Trevor Hastie, T. (2005). Regularization and Variable Selection via the Elastic Net. Journal of the Royal Statistical Society, Series B, 67(2), 301-320. PDF An Interview with EssentialScienceIndicators(Thomson Scientific)


• Zou, H. and Yang, Y. (2004). Combining Time Series Models for Forecasting. International Journal of Forecasting, 20(1), 69-84. PDF

Refereed Conference Papers

• Zou, H. (2007). An Improved 1-norm Support Vector Machine for Simultaneous Classification and Variable Selection. Eleventh International Conference on Artificial Intelligence and Statistics, PDF


• Zou, H., Zhu, J., Rosset, S. and Hastie, T. (2007). Automatic Bias Correction Methods in Semi-Supervised Learning. Contemporary Mathematics, 443, 165-175.


• Rosset, S., Zhu, J., Zou, H. and Hastie, T. (2005). A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. Advances In Neural Information Processing Systems 17. PDF

Refereed Invited Book Chapters

• Zhu, J. and Zou, H. (2007). Variable Selection For The Linear Support Vector Machine, in Trends in Neural Computation, Springer, ISBN: 978-3-540-36121-3.


• Zou, H. and Hastie, T. (2007). Model Building and Feature Selection with Genomic Data, in Computational Methods of Feature Selection, Chapman & Hall/CRC (Taylor & Francis Group), ISBN: 1-58488-878-4.