研究成果

第 1 到 24 筆結果，共 24 筆。

公開日期題名作者關聯scopusWOS全文
12022On multiple acceleration of reversible Markov chainChen-Wei Hua; Ting-Li Chen Statistics & Probability Letters 189, 109559
22022Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate DynamicsTing-Li Chen ; Fushing Hsieh; Elizabeth P. ChouEntropy 24(10), 1382
32022Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System ProblemsElizabeth P. Chou; Ting-Li Chen ; Fushing HsiehEntropy 24(2), 170
42021Categorical Nature of Major Factor Selection via Information Theoretic MeasurementsTing-Li Chen ; Elizabeth P. Chou; Fushing HsiehEntropy 23(12), 1684
52021Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data AnalysisFushing Hsieh; Elizabeth P. Chou; Ting-Li Chen Entropy 23(5), 594
62020Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgeryChe-Yu Hsu; Furen Xiao; Kao-Lang Liu; Ting-Li Chen ; Yueh-Chou Lee; Weichung WangNeuro-Oncology Advances 2(1), vdaa100
72020A consistency theorem for randomized singular value decompositionTing-Li Chen ; Su-Yun Huang ; Weichung WangSTATISTICS & PROBABILITY LETTERS 161, 108743
82020On 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
92018Optimal Variance Reduction for Markov Chain Monte CarloLu-Jing Huang; Yin-Ting Liao; Ting-Li Chen ; Chii-Ruey Hwang SIAM Journal on Control and Optimization 56(4), 2977-2996
102018On the asymptotic variance of reversible Markov chain without cyclesChi-Hao Wu; Ting-Li Chen Statistics & Probability Letters 137, 224-228
112016On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimationTing-Li Chen ; Hironori Fujisawa; Su-Yun Huang; Chii-Ruey HwangJournal of Multivariate Analysis 143, 165-184
122016On the strengths of the self-updating process clustering algorithmShang-Ying Shiu; Ting-Li Chen JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 86(5), 1010-1031
132016Minimizing variable selection criteria by Markov chain Monte CarloYen-Shiu Chin; Ting-Li Chen Computational Statistics 31, 1263-1286
142012On the Optimal Transition Matrix for Markov Chain Monte Carlo SamplingChen, Ting-Li ; Chen, Wei-Kuo; Hwang, Chii-Ruey ; Pai, Hui-MingSIAM Journal on Control and Optimization 50(5), 2743-2762
152012Use of a cytogenetic whole-genome comparison to resolve phylogenetic relationships among three species: implications for mammalian systematics and conservation biology.Yu, HT; Ma, GC; Lee, DJ; Chin, SC; Chen, TL ; Tsao, HS; Lin, WH; Wu, SH; Lin, CC; Chen, MTheriogenology 77(8), 1615-23
162011Locally Optimal SamplerChen, Ting-Li ; Shiu, Shang-Ying
172010Image Warping Using Radial Basis FunctionsChen, Ting-Li ; Geman, StuartTechnical Report, Institute of Statistical Science, Academia Sinica,9
182010Minimizing variable selection criterion by MCMCChen, Ting-Li ; Chin, Yen-ShiuTechnical Report, Institute of Statistical Science, Academia Sinica,18
192009A Markov Random Field Model for Medical Image DenoisingChen, Ting-Li 
202009Image segmentation by SUP clustering algorithmChen, Ting-Li 
212008On the Minimum Entropy of a Mixture of Unimodal and Symmetric DistributionsChen, T. -L. ; Geman, S.IEEE Transactions on Information Theory volume 54(7), p.3166-p.3174
222007A New Clustering Algorithm Based on Self-Updating ProcessChen, Ting-Li 
232007Modeling image prior and its application on image denoisingChen, Ting-Li 
242006Spike count reliability and the Poisson hypothesis.Amarasingham, A; Chen, TL ; Geman, S; Harrison, MT; Sheinberg, DLJOURNAL OF NEUROSCIENCE 26(3), 801-9