Estimation methods for time‐dependent AUC models with survival data H Hung, CT Chiang
Canadian Journal of Statistics 38 (1), 8-26, 2010
184 2010 Matrix variate logistic regression model with application to EEG data H Hung, CC Wang
Biostatistics 14 (1), 189-202, 2013
89 2013 On multilinear principal component analysis of order-two tensors H Hung, P Wu, I Tu, S Huang
Biometrika 99 (3), 569-583, 2012
56 2012 Robust mislabel logistic regression without modeling mislabel probabilities H Hung, ZY Jou, SY Huang
Biometrics 74 (1), 145-154, 2018
44 2018 Optimal composite markers for time‐dependent receiver operating characteristic curves with censored survival data H Hung, C Chiang
Scandinavian journal of statistics 37 (4), 664-679, 2010
36 2010 Non‐parametric estimation for time-dependent AUC CT Chiang, H Hung
Journal of Statistical Planning and Inference 140 (5), 1162-1174, 2010
36 2010 -SUP: A clustering algorithm for cryo-electron microscopy images of asymmetric particlesTL Chen, DN Hsieh, H Hung, IP Tu, PS Wu, YM Wu, WH Chang, ...
28 2014 Robust Independent Component Analysis via Minimum -Divergence Estimation P Chen, H Hung, O Komori, SY Huang, S Eguchi
IEEE Journal of Selected Topics in Signal Processing 7 (4), 614-624, 2013
18 2013 Detection of gene–gene interactions using multistage sparse and low‐rank regression H Hung, YT Lin, P Chen, CC Wang, SY Huang, JY Tzeng
Biometrics 72 (1), 85-94, 2016
15 2016 Random weighting and Edgeworth expansion for the nonparametric time-dependent AUC estimator CT Chiang, SH Wang, H Hung
Statistica Sinica, 969-979, 2009
12 2009 Nonparametric methodology for the time-dependent partial area under the ROC curve H Hung, CT Chiang
Journal of statistical planning and inference 141 (12), 3829-3838, 2011
11 2011 A low rank-based estimation-testing procedure for matrix-covariate regression H Hung, ZY Jou
Statistica Sinica 29 (2), 1025-1046, 2019
10 2019 Sufficient dimension reduction via random‐partitions for the large‐p ‐small‐n problem H Hung, SY Huang
Biometrics 75 (1), 245-255, 2019
8 2019 Identifying potential regions of copy number variation for bipolar disorder YH Chen, RB Lu, H Hung, PH Kuo
Microarrays 3 (1), 52-71, 2014
8 2014 Test of covariance changes without a large sample and its application to fault detection and classification H Hung, A Chen
Journal of Process Control 22 (6), 1113-1121, 2012
8 2012 An introduction to multilinear principal component analysis 陳定立, 陳素雲, 洪弘, 杜憶萍
中國統計學報 52 (1), 24-43, 2014
6 2014 A generalized information criterion for high-dimensional PCA rank selection H Hung, SY Huang, CK Ing
Statistical Papers 63 (4), 1295-1321, 2022
5 2022 A Robust Removing Unwanted Variation–Testing Procedure via-Divergence H Hung
Biometrics 75 (2), 650-662, 2019
5 2019 Robust Aggregation for Federated Learning by Minimum γ -Divergence Estimation CJ Li, PH Huang, YT Ma, H Hung, SY Huang
Entropy 24 (5), 686, 2022
4 2022 Sufficient dimension reduction with additional information H Hung, CY Liu, H Horng-Shing Lu
Biostatistics 17 (3), 405-421, 2016
4 2016