129 citations · 194 across the 5 of their papers we have counts for
5 papers
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis
Jiae Kim, Yoonkyung Lee, Zhiyu Liang
Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is…
Cross Validation for Penalized Quantile Regression with a Case-Weight Adjusted Solution Path
Shanshan Tu, Yunzhang Zhu, Yoonkyung Lee +2
Cross validation is widely used for selecting tuning parameters in regularization methods, but it is computationally intensive in general. To lessen its computational burden, appro…
Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression
John R. Lewis, Steven N. MacEachern, Yoonkyung Lee
Bayesian methods have proven themselves to be successful across a wide range of scientific problems and have many well-documented advantages over competing methods. However, these…
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters
Andrew J. Landgraf, Yoonkyung Lee
Principal component analysis (PCA) for binary data, known as logistic PCA, has become a popular alternative to dimensionality reduction of binary data. It is motivated as an extens…
Regularization of Case-Specific Parameters for Robustness and Efficiency
Yoonkyung Lee, Steven N. MacEachern, Yoonsuh Jung
Regularization methods allow one to handle a variety of inferential problems where there are more covariates than cases. This allows one to consider a potentially enormous number o…