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SUFFICIENT DIMENSION REDUCTION UNDER DIMENSION-REDUCTION-BASED IMPUTATION WITH PREDICTORS MISSING AT RANDOM 期刊论文
STATISTICA SINICA, 2019, 卷号: 29, 期号: 4, 页码: 1751-1778
Authors:  Yang, Xiaojie;  Wang, Qihua
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Kernel imputation  missing at random  missing predictors  sliced inverse regression  sufficient dimension reduction  
Applying Ricci flow to high dimensional manifold learning 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 9, 页码: 14
Authors:  Li, Yangyang;  Lu, Ruqian
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manifold learning  Ricci flow  Ricci curvature  dimension reduction  curvature estimation  
DensityPath: an algorithm to visualize and reconstruct cell state-transition path on density landscape for single-cell RNA sequencing data 期刊论文
BIOINFORMATICS, 2019, 卷号: 35, 期号: 15, 页码: 2593-2601
Authors:  Chen, Ziwei;  An, Shaokun;  Bai, Xiangqi;  Gong, Fuzhou;  Ma, Liang;  Wan, Lin
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Edge-group sparse PCA for network-guided high dimensional data analysis 期刊论文
BIOINFORMATICS, 2018, 卷号: 34, 期号: 20, 页码: 3479-3487
Authors:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
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Locality preserving projection on SPD matrix Lie group: algorithm and analysis 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 9, 页码: 15
Authors:  Li, Yangyang;  Lu, Ruqian
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manifold learning  SPD matrix Lie group  locally preserving projection  Laplace operator  Log Euclidean metric  
Existence of multiple periodic solutions to asymptotically linear wave equations in a ball 期刊论文
CALCULUS OF VARIATIONS AND PARTIAL DIFFERENTIAL EQUATIONS, 2017, 卷号: 56, 期号: 3, 页码: 25
Authors:  Chen, Jianyi;  Zhang, Zhitao
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Asymptotically linear wave equation  Multi-dimensional problem  Periodic solutions  Variational method  
Robust functional sliced inverse regression 期刊论文
STATISTICAL PAPERS, 2017, 卷号: 58, 期号: 1, 页码: 227-245
Authors:  Wang, Guochang;  Zhou, Jianjun;  Wu, Wuqing;  Chen, Min
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Dimension reduction  Functional regression  Functional sliced inverse regression  Robustness  
Dimension reduction estimation for probability density with data missing at random when covariables are present 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2017, 卷号: 181, 页码: 11-29
Authors:  Deng, Jianqiu;  Wang, Qihua
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Kernel density estimation  Kernel regression  Dimension reduction  Missing at random  Asymptotic normality  
Mean response estimation with missing response in the presence of high-dimensional covariates 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 2, 页码: 628-643
Authors:  Li, Yongjin;  Wang, Qihua;  Zhu, Liping;  Ding, Xiaobo
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Central mean subspace  Imputation  Kernel regression  Missing response  Weighted-bandwidth  
Simultaneous dimension reduction and adjustment for confounding variation 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 卷号: 113, 期号: 51, 页码: 14662-14667
Authors:  Lin, Zhixiang;  Yang, Can;  Zhu, Ying;  Duchi, John;  Fu, Yao;  Wang, Yong;  Jiang, Bai;  Zamanighomi, Mahdi;  Xu, Xuming;  Li, Mingfeng;  Sestan, Nenad;  Zhao, Hongyu;  Wong, Wing Hung
Favorite  |  View/Download:6/0  |  Submit date:2018/07/30
dimension reduction  confounding variation  transcriptome