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