Publications of Hui Zou
Journal Articles
- Yuan, M. and Zou, H. (2009). Efficient Global Approximation
of Generalized Nonlinear L1-Regularized Solution Paths and
Its Applications. Journal of the American
Statistical Association, In Press.
- Kai, B., Li, R. and Zou, H. (2009). Local CQR Smoothing: An
Efficient and Safe Alternative to Local Polynomial Regression.
Journal of the Royal Statistical Society, Series
B, In Press.
- Yuan, M., Joseph, R. and Zou, H. (2009). Structured Variable
Selection and Estimation, Annals of Applied
Statistics, In Press.
- Zhu, J., Zou, H., Rosset, S. and Hastie, T. (2009)
Multi-class Adaboost. Statistics and Its Interface, 2(3), 349-360.
[a special issue on data mining and machine learning]
- Zou, H. and Zhang, H. H. (2009). On The Adaptive Elastic-Net With A
Diverging Number of Parameters. The Annals of Statistics, 37(4), 1733-1751.PDF
- Zou, H. (2008). Discussion of ``Sure independence screening for ultra-high dimensional feature
space'', Journal of the 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, 2(4), 1290-1306. 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., 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. (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. [a special issue on data mining and machine
learning] 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, 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.
- 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.