Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link |
2020 | A consistency theorem for randomized singular value decomposition | Ting-Li Chen ; Su-Yun Huang ; Weichung Wang | STATISTICS & PROBABILITY LETTERS 161, 108743 | | | |
2009 | A Markov Random Field Model for Medical Image Denoising | Chen, Ting-Li | | | | |
2007 | A New Clustering Algorithm Based on Self-Updating Process | Chen, Ting-Li | | | | |
2021 | Categorical Nature of Major Factor Selection via Information Theoretic Measurements | Ting-Li Chen ; Elizabeth P. Chou; Fushing Hsieh | Entropy 23(12), 1684 | | | |
2009 | Image segmentation by SUP clustering algorithm | Chen, Ting-Li | | | | |
2010 | Image Warping Using Radial Basis Functions | Chen, Ting-Li ; Geman, Stuart | Technical Report, Institute of Statistical Science, Academia Sinica,9 | | | |
2022 | Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics | Ting-Li Chen ; Fushing Hsieh; Elizabeth P. Chou | Entropy 24(10), 1382 | | | |
2011 | Locally Optimal Sampler | Chen, Ting-Li ; Shiu, Shang-Ying | | | | |
2021 | Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data Analysis | Fushing Hsieh; Elizabeth P. Chou; Ting-Li Chen | Entropy 23(5), 594 | | | |
2016 | Minimizing variable selection criteria by Markov chain Monte Carlo | Yen-Shiu Chin; Ting-Li Chen | Computational Statistics 31, 1263-1286 | | | |
2010 | Minimizing variable selection criterion by MCMC | Chen, Ting-Li ; Chin, Yen-Shiu | Technical Report, Institute of Statistical Science, Academia Sinica,18 | | | |
2007 | Modeling image prior and its application on image denoising | Chen, Ting-Li | | | | |
2020 | On asymptotic normality of cross data matrix-based PCA in high dimension low sample size | Shao-Hsuan Wang; Su-Yun Huang ; Ting-Li Chen | JOURNAL OF MULTIVARIATE ANALYSIS 175, 104556 | | | |
2022 | On multiple acceleration of reversible Markov chain | Chen-Wei Hua; Ting-Li Chen | Statistics & Probability Letters 189, 109559 | | | |
2018 | On the asymptotic variance of reversible Markov chain without cycles | Chi-Hao Wu; Ting-Li Chen | Statistics & Probability Letters 137, 224-228 | | | |
2008 | On the Minimum Entropy of a Mixture of Unimodal and Symmetric Distributions | Chen, T. -L. ; Geman, S. | IEEE Transactions on Information Theory volume 54(7), p.3166-p.3174 | | | |
2012 | On the Optimal Transition Matrix for Markov Chain Monte Carlo Sampling | Chen, Ting-Li ; Chen, Wei-Kuo; Hwang, Chii-Ruey ; Pai, Hui-Ming | SIAM Journal on Control and Optimization 50(5), 2743-2762 | | | |
2016 | On the strengths of the self-updating process clustering algorithm | Shang-Ying Shiu; Ting-Li Chen | JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 86(5), 1010-1031 | | | |
2016 | On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation | Ting-Li Chen ; Hironori Fujisawa; Su-Yun Huang; Chii-Ruey Hwang | Journal of Multivariate Analysis 143, 165-184 | | | |
2018 | Optimal Variance Reduction for Markov Chain Monte Carlo | Lu-Jing Huang; Yin-Ting Liao; Ting-Li Chen ; Chii-Ruey Hwang | SIAM Journal on Control and Optimization 56(4), 2977-2996 | | | |