17 citations · 32 across the 15 of their papers we have counts for
5 papers · 1 filter
Robust mislabel logistic regression without modeling mislabel probabilities
Hung Hung, Zhi-Yu Jou, Su-Yun Huang
Logistic regression is among the most widely used statistical methods for linear discriminant analysis. In many applications, we only observe possibly mislabeled responses. Fitting…
A low-rank based estimation-testing procedure for matrix-covariate regression
Hung Hung, Zhi-Yu Jou
Matrix-covariate is now frequently encountered in many biomedical researches. It is common to fit conventional statistical models by vectorizing matrix-covariate. This strategy, ho…
-SUP: A clustering algorithm for cryo-electron microscopy images of asymmetric particles
Ting-Li Chen, Dai-Ni Hsieh, Hung Hung +5
Cryo-electron microscopy (cryo-EM) has recently emerged as a powerful tool for obtaining three-dimensional (3D) structures of biological macromolecules in native states. A minimum…
Matrix Variate Logistic Regression Model with Application to EEG Data
Hung Hung, Chen-Chien Wang
Logistic regression has been widely applied in the field of biomedical research for a long time. In some applications, covariates of interest have a natural structure, such as bein…
Nonparametric Methodology for the Time-Dependent Partial Area under the ROC Curve
Hung Hung, Chin-Tsang Chiang
To assess the classification accuracy of a continuous diagnostic result, the receiver operating characteristic (ROC) curve is commonly used in applications. The partial area under…