Publications

Filters: First Letter Of Last Name is W and Author is Wu, Yichao  [Clear All Filters]
2018
Xue, Hongqi, Shuang Wu, Yichao Wu, Juan C. Ramirez Idarraga, and Hulin Wu. "Independence screening for high dimensional nonlinear additive ODE models with applications to dynamic gene regulatory networks." Stat Med 37, no. 17 (2018): 2630-2644.
2017
White, Kyle R., Leonard A. Stefanski, and Yichao Wu. "Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods." J Am Stat Assoc 112, no. 520 (2017): 1587-1597.
2016
Zhang, Xiang, Yichao Wu, Lan Wang, and Runze Li. "A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces." J Mach Learn Res 17, no. 16 (2016): 1-26.
Chang, Jinyuan, Cheng Yong Tang, and Yichao Wu. "LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD." Ann Stat 44, no. 2 (2016): 515-539.
Zhang, Chong, Yufeng Liu, and Yichao Wu. "On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint." J Mach Learn Res 17, no. 40 (2016): 1-45.
Zhang, Xiang, Yichao Wu, Lan Wang, and Runze Li. "Variable Selection for Support Vector Machines in Moderately High Dimensions." J R Stat Soc Series B Stat Methodol 78, no. 1 (2016): 53-76.
2015
Wu, Yichao, and Leonard A. Stefanski. "Automatic structure recovery for additive models." Biometrika 102, no. 2 (2015): 381-395.
Kong, Dehan, Howard Bondell, and Yichao Wu. "Domain selection for the varying coefficient model via local polynomial regression." Comput Stat Data Anal 83 (2015): 236-250.
2014
Shin, Seung Jun, Yichao Wu, Hao Helen Zhang, and Yufeng Liu. "Probability-enhanced sufficient dimension reduction for binary classification." Biometrics 70, no. 3 (2014): 546-55.
Shin, Seung Jun, Yichao Wu, and Hao Helen Zhang. "Two-Dimensional Solution Surface for Weighted Support Vector Machines." J Comput Graph Stat 23, no. 2 (2014): 383-402.
Stefanski, L A., Yichao Wu, and Kyle White. "Variable Selection in Nonparametric Classification via Measurement Error Model Selection Likelihoods." J Am Stat Assoc 109, no. 506 (2014): 574-589.
2013
Wu, Yichao, and Yufeng Liu. "Adaptively Weighted Large Margin Classifiers." J Comput Graph Stat 22, no. 2 (2013).
Stefanski, Leonard A., Yichao Wu, and Kyle White. skda: Sparse (multicategory) kernel discriminant analysis (R).. 0.1 ed., 2013.
2011
Liu, Yufeng, Hao Helen Zhang, and Yichao Wu. "Hard or Soft Classification? Large-margin Unified Machines." J Am Stat Assoc 106, no. 493 (2011): 166-177.
2010
Liu, Yufeng, Yichao Wu, and Qinying He. "Utility-based Weighted Multicategory Robust Support Vector Machines." Stat Interface 3, no. 4 (2010): 465-476.