Publications

Results 1-13 of 13 (Search time: 0.005 seconds).

Issue DateTitleAuthor(s)RelationscopusWOSFulltext/Archive link
12022A generalized information criterion for high-dimensional PCA rank selectionHung Hung; Su-Yun Huang ; Ching-Kang Ing STATISTICAL PAPERS 63, 1295-1321
22022Robust self-tuning semiparametric PCA for contaminated elliptical distributionHung Hung; Su-Yun Huang ; Shinto EguchiIEEE TRANSACTIONS ON SIGNAL PROCESSING 70, 5885-5897
32022Perturbation theory for cross data matrix-based PCAShao-Hsuan Wang; Su-Yun Huang JOURNAL OF MULTIVARIATE ANALYSIS 190, 104960
42022Robust aggregation for federated learning by minimum γ-divergence estimationCen-Jhih Li; Pin-Han Huang; Yi-Ting Ma; Hung Hung; Su-Yun Huang ENTROPY 24(5), 686
52021On the asymptotic normality and efficiency of Kronecker envelope principal component analysisShih-Hao Huang; Su-Yun Huang JOURNAL OF MULTIVARIATE ANALYSIS 184, 104761
62021Alteration of power law scaling of spontaneous brain activity in schizophreniaYi-Ju Lee; Su-Yun Huang ; Ching-Po Lin; Shih-Jen Tsai; Albert C YangSchizophrenia Research 238, 10-19
72021Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous PancreasPo-Ting Chen; Dawei Chang; Huihsuan Yen; Kao-Lang Liu; Su-Yun Huang ; Holger Roth; Ming-Shiang Wu; Wei-Chih Liao; Weichung WangRadiology: Imaging Cancer 3(4), e210010
82020A consistency theorem for randomized singular value decompositionTing-Li Chen ; Su-Yun Huang ; Weichung WangSTATISTICS & PROBABILITY LETTERS 161, 108743
92020On asymptotic normality of cross data matrix-based PCA in high dimension low sample sizeShao-Hsuan Wang; Su-Yun Huang ; Ting-Li Chen JOURNAL OF MULTIVARIATE ANALYSIS 175, 104556
102020Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron MicroscopySzu-Chi Chung; Shao-Hsuan Wang; Po-Yao Niu; Su-Yun Huang ; Wei-Hau Chang; I-Ping Tu Annals of Mathematical Sciences and Applications 5(2), 283-316
112019The generalized degrees of freedom of multilinear principal component analysisI-Ping Tu; Su-Yun Huang ; Dai-Ni HsiehJOURNAL OF MULTIVARIATE ANALYSIS 173, 26-37
122019Sufficient dimension reduction via random-partitions for the large-p-small-n problemHung Hung; Su-Yun Huang BIOMETRICS 75(1), 245-255
132019Tensor decomposition for dimension reductionYu-Hsiang Cheng; Tzeeming Huang; Su-Yun Huang COMPUTATIONAL STATISTICS 12(2), e1482